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3 years Postdoc position at TCD (Dublin) on Security & Privacy of unused parameters of ML models.
by Alessio Benavoli Oct. 29, 2025

Oct. 29, 2025

Dear colleagues and students, I am recruiting a Postdoctoral researcher with a background in game theoretic modelling, learning theory and both the theoretical and practical aspects of deep learning. The successful applicant will collaborate within a skilled and motivated team of scientists (from Trinity College Dublin, Queen's University Belfast and University California Riverside) dedicated to understand the security and privacy implications of the unused parameters present in machine learning models. The proposed research explores the problem both from the theoretical and empirical perspectives. *Description*: Machine Learning applications increasingly rely on Deep Neural Networks (DeepNNs) to achieve state-of-the-art performance across a wide range of real-world tasks, including Large Language Models. DeepNNs are typically highly over-parameterised, but this characteristic has been shown to facilitate both optimisation and generalisation. Nevertheless, such over-parameterisation also introduces many parameters that are not essential to the final learned model and whose specific values have little impact on its behaviour (don’t-care states). In both software and hardware systems, undefined behaviour and don’t-care states have been shown to be potential sources of vulnerabilities. The postdoc will conduct research that contributes to the following streams of work: 1) Investigate the possible strategies that colluding parties could use to maliciously exploit the unused parameters (learning capacity) of a machine learning model using techniques from information and learning theory; 2) Model the attacks within a game-theoretic framework under complete or incomplete knowledge (Bayesian games), which will enable to find optimal strategies for the players (Attacker, Nature and Defender); 3) Validate these theoretical models and strategies on machine learning models and real applications. Applications from candidates with expertise in *imprecise** Statistics or imprecise Machine Learning* are welcome. - For informal *inquiries* please contact *alessio.benavoli(a)tcd.ie <alessio.benavoli(a)tcd.ie>* - *Salary* is up to ~€71,000 per annum per 3 years. - *Start*: January 2026. - For additional details (including qualifications, knowledge/experience and how to apply)* see attached document.* Best regards, Alessio Benavoli

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CFP IPMU 2026- Special Session on Theoretical and applied aspects of Imprecise Probabilities
by IGNACIO MONTES GUTIERREZ Oct. 18, 2025

Oct. 18, 2025

Dear colleagues, Please find attached a CFP for a special session on IP at the IPMU 2026 Conference, which will be held in Rome in June 2026. Best regards Ignacio Montes ****************************************************** [Apologise for multiple copies] Call for papers Special Session on "THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES" to be held at the 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2026) https://www.sbai.uniroma1.it/conferenze/ipmu2026/index.php Rome (Italy), June 15-19, 2026 Session topic and goal This session is devoted to Imprecise Probability Theory, which involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, p-boxes, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theories and other fields such as fuzzy sets or game theory is emphasised are also welcome. Theoretical topics of interest include (but are not limited to): * (coherent) uncertainty models * non-additive set-functions * qualitative reasoning about uncertainty * limit laws for imprecise probabilities * philosophical foundations * elicitation and inference * robust statistics * decision making Applications include (but are not limited to): * data mining * classification and machine learning * risk and reliability analysis * finance * life sciences * system control and design * algorithmic issues Dates Paper submission: January 12, 2026 Notification of Acceptance: February 15, 2026 Conference: June 15-19, 2026 Organisers We would be grateful if you could let us know whether you plan to submit a paper to this session. Any questions or remarks can be addressed to: David Nieto-Barba (nietodavid(a)uniovi.es) University of Oviedo (Spain) Ignacio Montes (imontes(a)uniovi.es) University of Oviedo (Spain)

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Reminder: SIPTA seminar at 3pm Paris time
by sdesterc Oct. 17, 2025

Oct. 17, 2025

Dear Siptians, This a small reminder that our seminar is bound to start in a bit more than one hour. Milan Studeny will talk of “Combinatorial description of facets of the cone of exact games (or coherent lower probabilities)”. Zoom link is https://utc-fr.zoom.us/j/85055146633 Best regards Sébastien -- ==================================== Sebastien Destercke, Ph. D. CNRS researcher in computer science. Université de Technologie de Compiegne U.M.R. C.N.R.S. 7253 Heudiasyc Avenue de Landshut F-60205 Compiegne Cedex FRANCE Tel: +33 (0)3 44 23 79 85 Fax: +33 (0)3 44 23 44 77 ====================================

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CNRS positions - reminder
by sdesterc Oct. 16, 2025

Oct. 16, 2025

Dear colleagues, As each year, the CNRS (centre national de recherche scientifique) will hire a number of people that will work in one of its associated laboratories (nation-wide in France), requiring candidates to provide a research project as well as a list of possible laboratories (associated to CNRS) in France where they could perform the proposed research. * Why should you apply? - CNRS positions are full permanent research positions that are, to my knowledge, one of the most flexible in terms of how you do your research. - CNRS offers quite a lot of opportunities (e.g., international labs) in case you want to make long foreign stays or develop your research into a product at some point. - As a CNRS researcher, you are mostly free to join any joint CNRS lab. This means that moving within France is very easy. - The institute is committed (and I can tell that by experience) to perform qualitative rather than quantitative assessments. So no obligation to publish or perish to prosper, but you can still play the game if you want. * Why should you not apply? - The salary is a priority for you: while it is quite decent at the start and quickly increases (in a rather predictable manner, as for all French state employees), it is probably below the level of tenured people in other European countries, notably due to the fact that France has historically chosen to have a lot of permanent public researchers/lecturers/professors (so monetary means are not concentrated nor subject to competition between universities). There is a number of ways to increase it (work part-time in company, give hours of teaching, providing some expertise, having salary supplements within projects), but most take some time away from research. - Learning French is not an option for you: while CNRS hires on a very regular basis non-french speaking researchers, daily life in France is definitely much more difficult if you do not have a working French. This can typically be acquired within some years (or maybe less) after arrival. * How should you apply? - Calendar: application files are typically to be submitted around January, with interviews in May. In order to prepare the candidacy, it is advisable to take contact with prospective teams/laboratories in October, November at the latest (preparing the application files take quite some time, and should be done in coordination at least with your preferred team) - Application file: It consists of a CV, a research statement (of about 10 pages in average), and of a research project that explains your scientific project for the next 5/10 years, understandable for specialist of the section you apply to (in computer science, the committee includes people from artificial intelligence, quantum computing, logic, mathematical programming, …). Within the project must be given three CNRS laboratories and teams (to be selected by the candidate among all the possible ones) in which you would like to perform this project. - Contacting laboratories/teams: if you have a laboratory/team you would like to join in case you are selected by CNRS, you should contact it as soon as possible. If you are interested or if you think of someone that could be interested, I will be happy to answer further questions, for instance to recommend labs where you could apply depending on your research project. Best regards Sébastien

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FW: IEEE WCCI 2026 Maastricht | First Announcement
by Kreinovich, Vladik Oct. 15, 2025

Oct. 15, 2025

IEEE WCCI 2026 - 21-26 June 2026, Maastricht, the Netherlands https://attend.ieee.org/wcci-2026/ Welcome We are pleased to announce that the 2026 IEEE World Congress on Computational Intelligence (WCCI 2026) will be held in Maastricht, the Netherlands, from 21 to 26 June 2026. This congress brings together three flagship conferences, facilitating rich knowledge exchange in neural networks, fuzzy systems and evolutionary computation: * 2026 International Joint Conference on Neural Networks (IJCNN) * 2026 IEEE International Conference on Fuzzy Systems (FUZZ) * 2026 IEEE Congress on Evolutionary Computation (CEC) Call for Submissions We look forward to receiving many outstanding research contributions for the 2026 IEEE World Congress on Computational Intelligence. Help shape the event by submitting a high-quality research paper, organizing a cutting-edge competition or challenge, proposing a focused special session, leading an interactive hands-on tutorial, hosting a collaborative thematic workshop, or joining a thought-provoking discussion panel as a participant or moderator. Call for Papers Paper submissions are invited (from 1 December 2025) via the WCCI 2026 website. All papers will be peer-reviewed and evaluated based on originality, significance, quality, and clarity. https://attend.ieee.org/wcci-2026/call-for-papers/ Special Sessions Special Session proposals should clearly outline the research domain of the session, highlighting its significance, impact, and relevance to the conference and the wider community. https://attend.ieee.org/wcci-2026/call-for-special-sessions/ Call for Tutorials We invite you to propose high-quality Tutorials and Workshops that align with the theme of WCCI. These will be pivotal to enhancing the learning experience of attendees. https://attend.ieee.org/wcci-2026/1222-2/ Important dates 1 November: Special sessions, competitions, tutorials, panels proposals 21 November: Special sessions, competitions, tutorials, panels notification 1 December 2025: Submission system opens 31 January: Paper submission deadline (23:59, anywhere on Earth, i.e. UTC-12) - no extension will be given! 15 March: Paper acceptance notification 15 April: Camera-ready papers 21-26 June: Congress Days Become a partner of WCCI 2026! The success of the World Congress on Computational Intelligence relies on the generous support of our esteemed sponsors. We invite you to join us as a sponsor and become an integral part of 2026 WCCI. Please find detailed information about our sponsorship opportunities at https://attend.ieee.org/wcci-2026/sponsors/ Organized by IEEE WCCI 2026 is legally organized by Stichting ConferEntis on behalf of IEEE, IEEE Computational Intelligence Society, International Neural Network Society, Maastricht University, and the University of Nottingham. Klinkhamer Group B.V. has been contracted by Stichting ConferEntis to manage the conference organization and secretariat. Klinkhamer Group B.V. has its registered office at: Duboisdomein 5D01, 6229 GT Maastricht, The Netherlands. E: wcci2026(a)klinkhamergroup.com<mailto:wcci2026@klinkhamergroup.com> T: +31 (0)43 362 70 08

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Call for Special Sessions IPMU2026. Rome, Italy, June 15th-19th, 2026. Extended Deadline
by Kreinovich, Vladik Oct. 15, 2025

Oct. 15, 2025

*********************************************************** 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2026) June 15th-19th, 2026, Rome, Italy https://www.sbai.uniroma1.it/conferenze/ipmu2026/ ************************************************************ The IPMU conference is organized every two years with the aim of bringing together scientists working on information processing and the management of the many aspects of uncertainty. It also serves as an ideal forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2026 edition of IPMU will take place at the Faculty of Economics of Sapienza University of Rome, Italy, in the nearby of the University city of Rome and the main train stations (Termini and Tiburtina). The 2026 edition of IPMU celebrates the 40th anniversary from the first edition of the conference that took place in Paris, France. The choice of Rome for this special occasion is not accidental since Rome and Paris are exclusively and reciprocally twinned, starting from April 1956. Sapienza University of Rome is one of the oldest universities of the world, being it founded in 1303 by Pope Boniface VIII, and is the largest university in Europe. Due to its strategic position, the Faculty of Economics allows to easily reach the plethora of monuments, historic hot-spots and wonderful sightseeing places that awarded to Rome the name of the Eternal city. Get ready for discussing cutting-hedge research on methods for the management of uncertainty and aggregation in one of the most beautiful cities of the world. On behalf of the Organizing Committee of the 21st IPMU Conference, we invite researchers to submit original research contributions (theoretical, methodological, applications) and/or to organize a special session on a specific topic within the scope of the conference which includes (but is not limited to) the following topics: Theory, Methods and Tools: Measures of Information and Uncertainty Bayesian and Probabilistic Methods Evidence, Possibility and Utility Theories Imprecise Probabilities Fuzzy, Rough, Intuitionistic, etc, Sets and operators Fuzzy Logic and other non-classical Logics Multiple Criteria Decision Methods Aggregation Methods Knowledge Acquisition, Representation and Reasoning Graphical Models Machine Learning Evolutionary Computation Neural Networks Data Analysis and Data Science. Application Fields: Big Data Smart Cities Image Processing Intelligent Systems and Information Processing, Logistics, Transportation and Routing Information Retrieval and Fusion Agents E-Health, Medicine and Bioinformatics Finance Fuzzy Optimization Please note that special sessions usually consist of about 4-6 presentations. You should send your proposal to ipmu2026(a)sbai.uniroma1.it<mailto:ipmu2026@sbai.uniroma1.it> Please, include in the message a description, list of topics and organizers. IMPORTANT DATES Special sessions proposals extended deadline: October 22nd, 2025 Notification of Special Sessions acceptance: October 31st, 2025 General Chair Barbara Vantaggi (Italy) Program Chairs Giulianella Coletti (Italy) Thierry Denoeux (France) Anne Laurent (France) Davide Petturiti (Italy) Publication Chair Enrique Miranda (Spain) Special Session Chair: Jesús Medina (Spain) Social Media Chairs Andrea Cinfrignini (Italy) Silvia Lorenzini (Italy) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) [Image removed by sender. UCA] Jesús Medina Moreno Catedrático de Universidad / Full Professor Mathematics for Computational Intelligence Systems (M·CIS) Departamento de Matemáticas Universidad de Cádiz Facultad de Ciencias, Campus del Río San Pedro 11510 Puerto Real Cádiz - SPAIN Tel +34 956 01 27 12

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mark your calendars
by Kreinovich, Vladik Oct. 11, 2025

Oct. 11, 2025

8th International Conference on Intelligent and Fuzzy Systems (INFUS 2026) July 7-9, 2026 Ankara, Türkiye infus.itu.edu.tr Conference Theme: Artificial Intelligence for a Sustainable Future: Driving Innovation in the Circular Economy Conference Venue: Cankaya University, Ankara, the capital city of Türkiye Conference Topics: Approximate reasoning, Artificial Neural Networks, Autonomous Systems, Classification, Clustering, Cognitive modelling, Computational Finance and Economics, Computing with Words, Data aggregation and fusion, Database management and querying, Decision-Making, e-Business, e-Learning, Evolutionary/Genetic Algorithms, Expert Systems, Feature Extraction, Forecasting and time series modelling, Fuzzy control, Fuzzy Systems, Geographic Information Systems, Hybrid systems involving software agents and human actors, Image processing and computer vision, Imprecise probabilities and fuzzy methods in statistics, Information retrieval, Intelligent data analysis and data-mining, Intelligent Systems, Knowledge representation and knowledge engineering, Linguistic modelling, Machine Learning, Natural language processing, generation and understanding, Nature-Inspired Optimization Algorithms, Neuro-fuzzy systems, Optimization, Possibility theory and applications, Rough sets theory, Semantic web, Social Networks Analysis and Computing, Soft Computing Applications, Stochastic and fuzzy optimization, System Control and Optimization, Theoretical foundations of fuzzy logic and fuzzy set theory, Theory and applications of decision-making, Uncertainty modelling. Social Events: Visit to Gordion Ancient city, Visit to Antic Roman Baths, and Beypazarı Your registration involves * Presentation of one accepted paper at the INFUS 2026 Conference, * Publication of one accepted paper (within 8 pages) in the Springer proceedings (guaranteed only for registration received before April 05, 2026), * Access to remote / onsite tutorial sessions at the conference, * Access to all remote INFUS 2026 conference scientific sessions, * Travels to Gordion Antic City, Roman Baths, and Beypazari * Conference bag and gifts, * Gala dinner, welcome cocktail, three days coffee breaks, * Three days lunches * And more than all, a warm hospitality that will make you feel at home. Important Dates: * Final date to submit abstracts: January 25, 2026 * Notification of abstracts acceptance: February 08, 2026 * Final date to submit full papers: February 15, 2026 * Notification of full papers acceptance: March 1, 2026 * Early registration: March 08, 2026 * Camera-ready paper submission: March 22, 2026 * Source file submission : March 29,2026 * Deadline of author late registration for paper publication in proceedings: April 05, 2026 * Conference: July 07-09, 2026 Conference Chair: Prof. Cengiz Kahraman kahramanc(a)itu.edu.tr<mailto:kahramanc@itu.edu.tr> Conference Co-Chairs: Prof. Basar Oztaysi, Prof. Selcuk Cebi, Prof. Sezi Cevik Onar, Prof. Irem Ucal Sari, Prof. Abdullah Cagri Tolga, Assoc. Prof. Irem Otay

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SIPTA virtual seminar (game theory and lower probabilities): 17th October, 3pm Paris time
by sdesterc Oct. 7, 2025

Oct. 7, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 17th of October (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85055146633 For this new seminar, we are very happy to have Milan Studeny as our speaker. Milan Studeny is a senior research er at the Institute of Information Theory and Automation, within the Academy of Sciences of the Czech Republic. Milan Studeny is internationally recognised, notably for his contributions to graphical models and conditional independence, as well as to game theory, on which this SIPTA seminar will focus. On the 17th of October, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Combinatorial description of facets of the cone of exact games (or coherent lower probabilities)”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 17th of October, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=hLdCKytLbhY See you at the seminar! Sébastien, Enrique and Jasper

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Numbers of the Future Conference: **Submit the abstract of your presentation**
by Kreinovich, Vladik Oct. 6, 2025

Oct. 6, 2025

Numbers of the future Conference When: 3-5 December 2025 Where: University of Liverpool, UK (also online for those who cannot travel) Registration: £100 (£50 online) Abstract submission: https://forms.gle/c1p1Jcikve1cjQET8 Conference website: https://sites.google.com/view/numbersofthefuture Taglines: https://sites.google.com/view/numbersofthefuture/taglines Overview Next-generation science and engineering will require data and calculations to be reliable, trackable, reusable, comprehensively described and linked, while also maintaining security and protecting private information. Quantitative assessments important in science, engineering, industry, commerce, finance, and forensics increasingly make use of critical data and calculations, sensitive or confidential records, incomplete or bad data, intrusively collected personal information, and tracked data and calculations. This use requires collating and propagating ancillary information that justifies conclusions, tracks evidence, and permits reanalysis. This conference will consider several essential questions: § What details are needed when collecting and sharing observational data and calculations? § How can we be sure that empirical effort produces meaningful, correct, and logically complete measurements? § What changes or augmentations are needed in empirical work to ensure that estimates and calculations are trackable and checkable? § What structures and processes can make scientific statements trustworthy, beyond relying on the integrity of scientists as individuals? § How can these be automated to be natural and least burdensome? § How can we radically reduce the need to 'clean' data sets? § What provisions can guarantee that the information is secure and uncorrupted but also accessible and reusable. § How can we avoid wasting or losing observations? Topics bad data, reusable data, symbolic data, trustworthiness, literate computing, data interoperability, responsible analysis, empiricist responsibility, linguistics of evidentiality, anonymisation techniques, numbers in crisis situations, findable and recoverable data, protecting personal information, self-documentation for data sets, evidence and justification tracing, uncertainty from expert elicitations, responsible simulation and modelling, ethical dimensions of numbers and data, security and confidentiality in data sharing, decision making under justification tracking, provenance and calculation stream histories, enriched and structured next-gen commenting, dimension and units checking and propagation, dangers and limitations in certification by analysis, extended research credits for non-author contributions, what to do about numbers already recorded in data sets, automating uncertainty propagation and sensitivity analysis, and conventions for comprehensive data description (NUSAP, FAIR, etc.). Themes * Reproducible and open science * Humane algorithms * Data sharing * Verification Who should attend The conference will bring together engineers with computer scientists, statisticians and data analysts, linguists, legal scholars, and policy analysts from across industrial, academic, and governmental institutions who must handle mission-critical data and calculations, sensitive or personal records, incomplete or bad data, or tracked data and calculations important in science, engineering, industry, commerce, finance, and forensics. Using such data requires the collation and propagation of ancillary information that justifies the quantitative calculations and assessments in which they are used. This multidisciplinary workshop is intended to foster cross-fertilization and creativity. Conference agenda The conference will begin Wednesday 3rd December at 2pm. A detailed agenda will be updated soon on the conference website. Wednesday (afternoon) Thursday Friday Registration Registration will open soon. In the meantime you can submit the abstract of your presentation at https://forms.gle/c1p1Jcikve1cjQET8. £100 fee for in-person registration will cover: § Attendance § Lunch and refreshment breaks, and § Conference dinner. On-line attendance has a £50 fee. Additional tickets (£50 for accompanying persons includes the conference dinner, and social events) may be purchased at registration. Important dates 31st October: deadline for abstract submission 1st November: registration opens 14th November: notification of acceptance of presentation 3rd December: conference January: special issue open Keynote speakers Arnald Puy<https://www.arnaldpuy.com/> (University of Birmingham) Ivan Oransky<https://retractionwatch.com/meet-the-retraction-watch-staff/about/> (Retraction Watch) TBC Journal special issue Selected abstracts/presentations from the conference will be invited for submission to a special issue of the International Journal of Approximate Reasoning. Conference venue The conference will be held in person at the University of Liverpool in the <https://www.liverpool.ac.uk/central-teaching-hub/> Central Teaching Hub<https://www.liverpool.ac.uk/central-teaching-hub/> (What3Words ///basin.causes.select<https://what3words.com/basin.causes.select>). The presentations will also be live streamed for registrants via Zoom. Organizers The conference is hosted by the Institute for Risk and Uncertainty at the University of Liverpool in the United Kingdom. Co-chairs Marco de Angelis<https://www.strath.ac.uk/staff/de_angelismarcodr/>, University of Strathclyde, United Kingdom Scott Ferson<https://sites.google.com/site/scottfersonsite/>, University of Liverpool, United Kingdom Kari Sentz<https://laro.lanl.gov/esploro/profile/kari_sentz/output/all?institution=01L…>, Los Alamos National Laboratory, United States Conference Secretariat Andrea Jones +44 0151 7944837 a.m.jones(a)liverpool.ac.uk<mailto:a.m.jones@liverpool.ac.uk> Steering Committee Ekaterina Auer, Hochschule Wismar, Germany Anas Batou, University of Liverpool, United Kingdom Michael Beer, Leibniz Universität Hannover, Germany Conal Brown, TÜV Rheinland Industrial Services, United Kingdom Mark Burgman, University of Hawai‘i at Mānoa, United States Leslie Yu Chen, University of Liverpool, United Kingdom Leonardo Christo, Agência Nacional do Petróleo, Gás Natural e Biocombustíveis, Brasil Silvio Funtowicz, Universitetet i Bergen, Norway Ander Gray, Université de Technologie de Compiègne, France Ioanna Ioannou, University College London, United Kingdom Vladik Kreinovich, University of Texas at El Paso, United States Adolphus Lye, National University of Singapore, Singapore Enrique Miralles-Dolz, Princeton Plasma Physics Laboratory, United States Jeremy NIcholls, Social Value International, United Kingdom William L. Oberkampf, United States Jason O'Rawe, Etsy, United States Edoardo Patelli, University of Strathclyde, Scotland Jerome Ravetz, University of Oxford, United Kingdom Sebastian Timme, University of Liverpool, United Kingdom Local Organizing Committee Ioanna Ioannou Nicholas Gray Leslie Yu Chen Conal Brown To know more about hotels, transportation to reach Liverpool and related ideas see the conference site: https://sites.google.com/view/numbersofthefuture.

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Third Call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026
by GIUSEPPE SANFILIPPO Sept. 23, 2025

Sept. 23, 2025

Third call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026 (Apologies if you receive multiple copies of this message) ========================================= Conference Announcement ========================================= The 5th Italian Meeting on Probability and Mathematical Statistics will take place in Palermo, Italy, from June 8 to 12, 2026. Website: https://probabilitypalermo2026.unipa.it ======================== Key Dates ======================== Contributed Session submission deadline: SEPTEMBER 30, 2025 Notification of acceptance: November 15, 2025 Abstract submission for accepted CS: December 31, 2025 Early registration deadline: February 28, 2026 ================================ Submission Guidelines for a CS ================================ We invite all researchers interested in contributing to the event to submit proposals for Contributed Sessions. The participation of young researchers and PhD students working in Italy or abroad is strongly encouraged. A Contributed Session (CS) consists of four presentations by speakers invited by one or two organizers (organizers may also be among the speakers). In the “Contributed Session” submission form, please include: - The session title - The names of the 4 speakers - A short description of the session To submit a CS, please visit: https://probabilitypalermo2026.unipa.it/contributed-sessions/ ============= Description ============= Established in 2017, the Italian Meeting on Probability and Mathematical Statistics aims to bring together Italian and international researchers with shared interests in any field of probability and mathematical statistics, promoting the dissemination of recent scientific results and fostering academic exchange. The first meeting was held in Turin in 2017. Since then, the meetings have taken place in Vietri sul Mare (2019), Bologna (2022), and Rome (2024). The 5th edition, promoted by the PRISMA group (https://umi-prisma.polito.it/) of the Italian Mathematical Union (UMI), will be held in Palermo, Italy, from June 8 to 12, 2026, at the Campus of the University of Palermo, Viale delle Scienze, (https://probabilitypalermo2026.unipa.it/general-information/) ================ Plenary Speakers ================ We are pleased to announce the following confirmed plenary speakers (https://probabilitypalermo2026.unipa.it/invited-speakers/) - Francesca Biagini (LMU, Germany); - Stefano Favaro (University of Turin and Collegio Carlo Alberto, Italy); - Franco Flandoli (Scuola Normale Superiore di Pisa, Italy); - Silvio Micali (MIT, USA); - Giuseppe Savaré (Bocconi University, Italy). ======================== Steering Committee ======================== Giacomo Ascione, Scuola Superiore Meridionale, Naples Claudia Ceci, Sapienza University of Rome Paolo Dai Pra, University of Verona Antonio Di Crescenzo, University of Salerno Marco Fuhrman, University of Milan Domenico Marinucci, University of Rome “Tor Vergata” Laura Sacerdote, University of Turin Giuseppe Sanfilippo, University of Palermo Enrico Scalas, Sapienza University of Rome Barbara Trivellato, Polytechnic University of Turin ======================== Local Committee ======================== https://probabilitypalermo2026.unipa.it/committees/ ~~~~~~~~~~~~~~~~~~~~~~~~~ Giuseppe Sanfilippo Departments of Mathematics and Computer Science, University of Palermo, Italy https://sites.unipa.it/sanfilippo giuseppe.sanfilippo(a)unipa.it ~~~~~~~~~~~~~~~~~~~~~~~~~

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SI: Statistical Machine Learning and Bayesian Methods with Applications. Mathematics MDPI
by doria＠unich.it Sept. 23, 2025

Sept. 23, 2025

Dear Colleagues, We are pleased to introduce a Special Issue on “Statistical Machine Learning and Bayesian Methods with Applications”. The fields of statistical machine learning and Bayesian analysis are rapidly evolving, fuelled by theoretical and computational advances and an increasing demand for interpretable, trustworthy, and adaptable models in high-stakes applications. While machine learning has often been developed and tested on benchmark datasets, it has already shown its value in significant real-world applications and continues to hold great untapped potential across domains such as spatial statistics, survival analysis, healthcare, and environmental science. This Special Issue seeks to highlight the synergy between modern Bayesian methods, including hierarchical, nonparametric, and deep probabilistic approaches, and statistical machine learning, with a particular focus on enhancing the transparency, robustness, and interpretability of predictive models. Contributions are encouraged that demonstrate both theoretical innovation and application-driven insights, providing proof-of-concept studies or real-world implementations with clear originality and significance. Key topics of interest include, but are not limited to, the following: Statistical approaches in machine learning: Frameworks integrating statistical principles to improve generalization, stability, and uncertainty quantification; Interpretability and explainability: New methodologies to make predictive models, including black-box models, more transparent and understandable; Flexible and robust Bayesian modeling frameworks; Bayesian and probabilistic modeling for complex and structured data, including methods for challenging inference problems and real-world applications (e.g., spatial statistics, survival analysis, and geostatistical modelling…); Bayesian deep learning and probabilistic machine learning; Application-driven machine learning: Innovative applications with theoretical justification and demonstrable real-world impact; Applications emphasizing validation, interpretability, and practical significance. Dr. Mélodie Monod Dr. Serena Doria Guest Editors Manuscript Submission Information https://www.mdpi.com/si/255192

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Next ISIPTA seminar: Gregory Wheeler, 19th June, 3pm CEST
by sdesterc Sept. 23, 2025

Sept. 23, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 19th of June (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/84120288169 For this new seminar, we are very happy to have Gregory Wheeler as our speaker. Professor of Philosophy and Computer Science and Head of the Department of Computational Science & Philosophy at the Frankfurt School of Finance & Management. He is also the co-founder of Exaloan AG. Contributions from Gregory Wheeler span many fields, including formal logic, machine learning and of course the foundations of probabilities and the role of imprecision within it. On the 19th of June, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Function-coherent gambles”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 19th of June, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=gGPF9dUug2g See you at the seminar! Sébastien, Enrique and Jasper

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IPMU'2026: call for special sessions
by Enrique Miranda Sept. 19, 2025

Sept. 19, 2025

SUBJECT: Call for Special Sessions IPMU2026. Rome, Italy, June 15th-19th, 2026. ******** APOLOGIES FOR MULTIPLE COPIES ******** *********************************************************** 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2026) June 15th-19th, 2026, Rome, Italy https://www.sbai.uniroma1.it/conferenze/ipmu2026/ ************************************************************ The IPMU conference is organized every two years with the aim of bringing together scientists working on information processing and the management of the many aspects of uncertainty. It also serves as an ideal forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2026 edition of IPMU will take place at the Faculty of Economics of Sapienza University of Rome, Italy, in the nearby of the University city of Rome and the main train stations (Termini and Tiburtina). The 2026 edition of IPMU celebrates the 40th anniversary from the first edition of the conference that took place in Paris, France. The choice of Rome for this special occasion is not a case since Rome and Paris are exclusively and reciprocally twinned, starting from April 1956. Sapienza University of Rome is one of the oldest universities of the world, being it funded in 1303 by Pope Boniface VIII, and is the largest university in Europe. Due to its strategic position, the Faculty of Economics allows to easily reach the plethora of monuments, historic hot-spots and wonderful sightseeing places that awarded to Rome the name of the Eternal city. Get ready for discussing cutting-hedge research on methods for the management of uncertainty and aggregation in one of the most beautiful cities of the world. On behalf of the Organizing Committee of the 21st IPMU Conference, we invite researchers to submit original research contributions (theoretical, methodological, applications) and/or to organize a special session on a specific topic within the scope of the conference which includes (but is not limited to) the following topics: Theory, Methods and Tools: Measures of Information and Uncertainty Bayesian and Probabilistic Methods Evidence, Possibility and Utility Theories Imprecise Probabilities Fuzzy, Rough, Intuitionistic, etc, Sets and operators Fuzzy Logic and other non-classical Logics Multiple Criteria Decision Methods Aggregation Methods Knowledge Acquisition, Representation and Reasoning Graphical Models Machine Learning Evolutionary Computation Neural Networks Data Analysis and Data Science. Application Fields: Big Data Smart Cities Image Processing Intelligent Systems and Information Processing, Logistics, Transportation and Routing Information Retrieval and Fusion Agents E-Health, Medicine and Bioinformatics Finance Fuzzy Optimization Please note that special sessions usually consist of about 4-6 presentations. You should send your proposal to ipmu2026(a)sbai.uniroma1.it IMPORTANT DATES Special sessions proposals: October 15th, 2025 Notification of Special Sessions acceptance: October 31st, 2025 General Chair Barbara Vantaggi (Italy) Program Chairs Giulianella Coletti (Italy) Thierry Denoeux (France) Anne Laurent (France) Davide Petturiti (Italy) Publication Chair Enrique Miranda (Spain) Special Session Chair: Jesus Medina (Spain) Social Media Chairs Andrea Cinfrignini (Italy) Silvia Lorenzini (Italy) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA)

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Justyna Dąbrowska's report on ISIPTA 2025 on the SIPTA blog
by Alexander Erreygers Sept. 17, 2025

Sept. 17, 2025

Dear IP enthusiasts, Missed ISIPTA 2025 and want to get a quick overview of all the interesting talks and fun social activities you missed? Went to ISIPTA 2025 but have a foggy memory due to the copious amounts of German beer available at the social activities? Curious to experience ISIPTA 2025 through the eyes of a first-time attendee who managed to claim the first poster prize? Want to see an incredible map illustrating the geographical diversity of the authors who contributed to ISIPTA 2025? Then head over to the SIPTA blog<https://sipta.org/blog/> to read Justyna Dąbrowska’s lovely report on ISIPTA 2025<https://sipta.org/blog/isipta-2025/>. Kind regards, Alexander Erreygers

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mark your calendars
by Kreinovich, Vladik Sept. 13, 2025

Sept. 13, 2025

Papers related to the use of imprecise probabilities in AI are always welcome at this series of conferences ********** The 2026 IEEE Conference on Artificial Intelligence CAI 2026 Granada, Spain, May 8-10, 2026 https://sci2s.ugr.es/cai-2026 The 2026 IEEE Conference on Artificial Intelligence (IEEE CAI 2026) is the 4th Edition of the International Conference IEEE CAI that will take place in Granada (Spain). IEEE CAI 2026 is focused on the AI research and innovation with a special emphasis on the applications of AI and key AI verticals that impact industrial technology applications and innovations. You will learn about new research and breakthroughs in the industry, gain insight into new start-ups and leading AI companies, grow your network, and get inspired by the brightest minds working in the multi-faceted fields. IEEE CAI was previouly celebrated in Santa Clara (CAI 2023, 2025) and Singapore (CAI 2024) and it is supported by the important Technology IEEE Societies: IEEE Computational Intelligence Society, IEEE Computer Society, IEEE System, Man and Cybernetics Society and IEEE Signal Processing Society. Plan now to attend this highly anticipated spectacular event, taking place May 8-10, 2026 in Granada (Spain). Key AI Verticals: IEEE CAI 2026 offers an unprecedented experience with prominent AI speakers delivering keynote presentations, engaging workshops, technical and information sessions featuring contemporary AI topics, and insightful forward-looking panels around important sectors, which are related with the following key AI verticals: - HEALTHCARE AND LIFE SCIENCES. - HUMAN-ROBOT COLLABORATION. - SUSTAINABLE AND TRUSTWORTHY AI. - MULTIMEDIA AND VIRTUAL REALITY AND TELEOPERATION. - BUSINESS INTELLIGENCE/ FINANCE. - GENERATIVE AI MODELS AND AGENTIC AI. SUBMISSIONS & PUBLICATIONS: - See the web page of the conference. - The conference papers will be published according to the templates provided by IEEE eXpress Conference Publishing https://www.ieee.org/conferences/publishing/ieee-express-conference-publish… IMPORTANT DATES: Workshops, Tutorials, Panels, also Spec Sessions: Sept 30, 2025. Paper submission (all papers): October 30, 2025 Paper Evaluations to Authors: December 15, 2025. Final Camera Ready & Registration: January 20, 2026. Email contact: viedma(a)decsai.ugr.es<mailto:viedma@decsai.ugr.es> and rkozma(a)memphis.edu<mailto:rkozma@memphis.edu> General Chairs: * Enrique Herrera-Viedma, University of Granada, Granada, Spain, e-mail: viedma(a)decsai.ugr.es<mailto:viedma@decsai.ugr.es> * Robert Kozma, University of Memphis, USA e-mail: rkozma(a)memphis.edu<mailto:rkozma@memphis.edu> * Carmen Nestares, Amazon Prime, Seattle, USA Program Chairs: * Francisco Herrera, University of Granada, Granada, Spain, e-mail: herrera(a)decsai.ugr.es<mailto:herrera@decsai.ugr.es> * Giancarlo Fortino, University of Calabria, Italy, e-mail: g.fortino(a)unical.it<mailto:g.fortino@unical.it> * Bing Xue, Victoria University of Wellington, New Zealand, e-mail: Bing.Xue(a)vuw.ac.nz<mailto:Bing.Xue@vuw.ac.nz> * KC Santosh, University of South Dakota, South Daota, kc.santosh(a)usd.edu<mailto:kc.santosh@usd.edu> Honorary Chairs: * Piero Bonnisone, Piero P Bonnisone Analytics LLC * Fei-Yue Wang, Chinese Academy of Sciences * Bernadette Bouchon, Sorbonne Universite, Paris, France Advisory Board: * Hussein Abbass, University of New South Wales, Australia * Yew Soon Ong, Nanyang Technological University, Signapore * Marcos Lopez de Prada, Abu Dhabi Investment Authority (ADIA) * Ljiljana Trajkovic, Simon Fraser University, Canada * Saeid Nahavandi, Swinburne University of Technology, Australia * Adrian Stoica, USA Vice General Chairs: * Sam Kwong, Lingnan University, Hong Kong * Horst Simon, ADIA Lab, Abu Dhabi * Jie Lu, Sidney University of Technology Sydney, Australia * Carlos Coello, UNAM, Mexico Finance Chair: * Vladik Kreinovich, University of Texas at El Paso, USA Local Organizing Chairs: * Jose Luis Verdegay, University of Granada. * Oscar Cordon, University of Granada. * Manuel Jesus Cobo, University of Granada. * Sergio Alonso, University of Granada. Program committee: See in the web page of the conference.

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mark your calendars
by Kreinovich, Vladik Sept. 13, 2025

Sept. 13, 2025

FYI, papers related to imprecise probabilities are always welcome at this series of workshops ********************* 18th International Workshop on Constraint Programming and Decision Making CoProD'2026 https://www.reliable-computing.org/coprod26.html March 13, 2026, El Paso, Texas, USA. CoProD'2026 is the eighteenth edition of CoProD. It will be held on March 13, 2026, right before the Joint NAFIPS International Conference on Fuzzy Systems, Soft Computing and Explainable AI and 10th World Conference on Soft Computing, El Paso, Texas, USA, March 14-16, 2026, https://sites.google.com/view/nafips26/ Constraint programming techniques are important components of intelligent systems. They constitute a declarative and efficient methodology to represent and solve many practical problems. They have been applied successfully to a number of fields, such as scheduling of air traffic, software engineering, networks security, chemistry, and biology. Despite the proved usefulness of these techniques, they are still under-utilized in real-life applications. One reason is the perceived lack of effective communication between constraint programming experts and domain practitioners about constraints, in general, and their use in decision making, in particular. Objectives of CoProD: * To present advances in constraint solving, optimization, and related topics; * To develop a network of researchers interested in constraint techniques, in particular researchers and practitioners that use numeric and symbolic approaches (or a combination of them) to solve constraint and optimization problems; * To address the gap between the great capacity of these techniques and their limited use. CoProD aims at encouraging presentation and discussion of on-going work. In particular, please note that there is room for presentation of ideas, as opposed to results only. It also aims at facilitating networking opportunities as well as cross-fertilization between the approaches used in the different attending communities. Therefore, besides active researchers in decision making and constraint programming techniques, we expect to have a wide attendance and participation of domain scientists -- whose input is highly valued in this workshop. Proceedings / Publication: Submissions are expected in the form of extended abstracts of at least 2 pages and ideally no more than 5 pages (a few more pages is OK), formatted using the Springer edited book format, style file svmult.cls and an example of using this file (not related to CoProD) are attached to the workshop website. Submissions have to be sent in pdf format AND LaTeX format to mceberio [at] utep [dot] edu and vladik [at] utep [dot] edu. A contact author should be specified in the submission email. The deadline for submissions is December 24, 2025 (Let us know if you need a few more days). Authors of accepted abstracts are expected to participate and present their work at the workshop. Participation / Submission: Participation is encouraged from people doing research in the area of decision making as well as from domain scientists. Submissions of ideas are also encouraged. Important dates: December 24, 2025: paper submission January 17, 2026: notification of acceptance February 13, 2026: camera-ready copy of abstracts due March 13, 2026: workshop Organizers: Martine Ceberio, the University of Texas at El Paso, mceberio(a)utep.edu Vladik Kreinovich, the University of Texas at El Paso, vladik(a)utep.edu The previous editions of CoProD featured invited talks by highly recognized experts (listed in alphabetic order): * Purushotham Bangalore, CIS department, University of Alabama at Birmingham, USA * Martin Berz, Michigan State University, USA * Stefano Bistarelli, University of Perugia, Italy * Alessandro Dal Palu, University of Parma, Italy * Rina Dechter, Information and Computer Sciences, University of California Irvine, USA * Scott Ferson, Applied Bioinformatics, New York, USA * Juan Carlos Figueroa, Universidad Distrital de Bogota, Colombia * Milan Hladik, Charles University, Prague, Czech Republic * Patty Hough, Sandia National Lab, Livermore, California, USA * Luc Jaulin, Ecole Nationale Superieure des Techniques Avancees (ENSTA) Bretagne, France * Weldon Lodwick, University of Colorado Denver, Denver, Colorado, USA * Kyoko Makino, Michigan State University, USA * Francois Modave, Texas Tech Health Center, El Paso, Texas, USA * Tiago Oliveira, National Institute of Informatics (NII) in Tokyo, Japan. * Enrico Pontelli, New Mexico State University, Las Cruces, New Mexico, USA * James Raynolds, College of Nanoscale and Engineering, SUNY Albany, USA * Siegfried Rump, Hamburg University of Technology and Waseda University, Japan * Ken Satoh, National Institute of Informatics (NII) in Tokyo, Japan * Bart Selman, CS department, Cornell University, USA * Yaroslav D. Sergeyev, Universita della Calabria, Italy * Sergey Shary, Novosibirsk State University, Russia * Young Jun Son, The University of Arizona, Tucson, USA * Xiaobai Sun, Duke University, USA * Alfredo Vaccaro, University of Sannio, Department of Engineering, Benevento, Italy * Leticia Velazquez, The University of Texas at El Paso, USA

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fuzzy-related conference, mark your calendars
by Kreinovich, Vladik Sept. 13, 2025

Sept. 13, 2025

Paper involving fuzzy-related imprecise probabilities are always welcome at this series of conferences. ************* The Joint NAFIPS International Conference on Fuzzy Systems, Soft Computing and Explainable AI and 10th World Conference on Soft Computing will be held in El Paso, Texas, USA, on March 14-16, 2026. https://sites.google.com/view/nafips26/ <venue> In 2025, we had a conference in Banff, Canada, on the Northern side of Rocky mountains. This year, this conference will be held in the southmost part of the same mountain range -- in El Paso, Texas. El Paso is among the ten safest cities in the US, It is a vibrant border city known for its unique blend of American and Mexican cultures, affordability, and historic charm. Located in far western Texas, the "Sun City" offers a high number of sunny days and is recognized for its beautiful desert landscapes and strong community spirit. El Paso is situated at the junction of Texas, New Mexico, and Mexico, creating a strong binational identity that influences its food, language (Spanglish is common), and festivals. The conference venue is the Art, Science, and Technology Building on the Valle Verde Campus of the El Paso Community College, see https://www.epcc.edu/Contact/about-the-campuses <Aims and Scope> As an international conference in the areas of fuzzy sets and soft computing, the NAFIPS 2026 conference will bring together scientists, engineers, students, and practitioners working in fuzzy logic and related areas to present their recent research accomplishments. The conference offers a unique platform for the exchange of ideas, fostering interaction and building multidisciplinary research linkages. <Topics> The topics cover all aspects of fuzzy systems and their applications including, but not limited to: * fuzzy sets and fuzzy logic * mathematical foundations of fuzzy sets and fuzzy systems * approximate reasoning, fuzzy inference models, and soft computing * fuzzy decision analysis, decision making, optimization, and design * fuzzy system architectures and hardware * fuzzy methods in data analysis, statistics and imprecise probability * fuzzy databases and information retrieval * fuzzy pattern recognition and image processing * fuzzy sets in management science * fuzzy control and robotics * possibility theory * fuzzy sets and logic in ontology, web, and social networks * fuzzy preference modeling * fuzzy sets in operations research and manufacturing * fuzzy database mining and financial forecasting * fuzzy neural networks * evolutionary and hybrid systems * intelligent agents and ambient intelligence * learning, adaptive, and evolvable fuzzy systems <Deadlines> Deadline for submitting tutorial and special session proposals: November 1, 2025 Deadline for paper submissions: December 1, 2025 Notification of acceptance: January 15, 2026 Deadline for final versions of accepted papers: February 15, 2026 Conference: March 14-16, 2026 <How to submit> Please submit your tutorial proposals to Marek Reformat, Tutorial Chair, by email to reformat(a)ualberta.ca<mailto:reformat@ualberta.ca>. Please submit your special session proposals to Fernando Gomide, Special Session Chair, at gomide(a)unicamp.br<mailto:gomide@unicamp.br>. Proposals for tutorials and special sessions should include the title, a short abstract, and the list of organizers (including a brief listing of their qualifications). Papers should be submitted via EasyChair, instructions will follow later. <Organizing committee> General Chair: Christian Servin (El Paso Community College) Program Chair: Scott Dick (University of Alberta, Canada) Special Sessions Chair: Fernando Gomide (University of Campinas, Brazil) Award Co-Chairs: Julia Rayz (Purdue University) Ildar Batyrshin (Instituto Politecnico Nacinal, Mexio) Tutorial Chair: Marek Reformat (University of Alberta, Canada) Industrial Liaison Chair: Kelly Cohen (University of Cincinnati) Competition Co-Chairs: Tim Arnett (Thales Flight Avionics, USA) Barnabas Bede (DigiPen University) Student and Young Researchers Chair: Wilhelm Louw (Pyramidion Co. and University of Cincinnati) Publicity Chair: Juan Carlos Figueroa-Garcia (Universita Distrital, Bogota, Colombia) Local Arrangements Co-Chairs: Christian Servin, Nadia Karichev, Ivan Alonso (El Paso Community College) Martine Ceberio, Vladik Kreinovich (University of Texas at El Paso)

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EurIPS Workshop on Epistemic Intelligence in ML
by Michele Caprio Sept. 13, 2025

Sept. 13, 2025

The following has IPs at its core. Please consider attending and submitting! Yours, Michele --- Dear all, Still deciding between NeurIPS and EurIPS? Maybe this will help! We are delighted to announce that the 1st Workshop on Epistemic Intelligence in Machine Learning (EIML) will take place in conjunction with EurIPS 2025, this December in Copenhagen, Denmark. The workshop will bring together researchers to discuss the foundations and applications of epistemic uncertainty in machine learning. We will soon be accepting non-archival submissions (4–6 pages, excluding references and appendices). The deadline for submission is 17th October 2025. Please find below the detailed Call for Papers. For further information, please check out our workshop website: https://sites.google.com/view/eiml-eurips2025/ [sites.google.com] We warmly invite you to consider submitting your work and would be grateful if you could also help us disseminate the call within your networks. ****************************************************************************************************************************** Call for Papers: 1st Workshop on Epistemic Intelligence in Machine Learning (EIML) 6th or 7th December 2025 EURIPS 2025, Copenhagen, Denmark. https://sites.google.com/view/eiml-eurips2025/ [sites.google.com] ****************************************************************************************************************************** KEYNOTE SPEAKERS: Prof. Fabio Cuzzolin (Oxford Brokes University, United Kingdom) Prof. Eyke Hüllermeier (Ludwig Maximilian University of Munich (LMU), Germany) Prof. Ryan Martin (NC State University, United States) Prof. Fanny Yang (ETH Zurich, Switzerland) PANELISTS (In addition to the keynote speakers): Prof. Jason Konek (University of Bristol, United Kingdom) Prof. Gert de Cooman (Ghent University, Belgium) ORGANISING COMMITEE: Michele Caprio (University of Manchester, United Kingdom) Siu Lun Chau (Nanyang Technological University, Singapore) Ruobin Gong (Rutgers University, United States) Shireen Kudukkil Manchingal (Oxford Brookes University, United Kingdom) Krikamol Muandet (CISPA Helmholz Center for Information Security, Germany) Bob Williamson (University of Tübingen, Germany) AIMS AND SCOPE: This workshop seeks contributions from researchers across machine learning, statistics, philosophy of science, decision theory, and related disciplines to explore theoretical foundations, algorithmic innovations, and practical applications that center around epistemic uncertainty (EU). We welcome works-in-progress and mature research that address the central challenge of reasoning and decision-making under epistemic uncertainty. Specific topics of interests include, but are not limited to: Representation and Measurement of Epistemic Uncertainty Mathematical Frameworks for EU: Bayesian methods, imprecise probabilities, fuzzy logic, belief functions, possibility theory, etc. Comparisons and formal properties of uncertainty representations Evaluation criteria and benchmarking strategies for UQ methods. Epistemic v.s. Aleatoric uncertainty: delineation and interaction. Prediction Under Epistemic Uncertainty Predictive models that capture and express EU: Bayesian models, evidential deep learning, credal models Generalisation under distribution shifts, domain adaptation, and robustness analysis OOD detection and safe prediction under model misspecification Learning under partial or vague supervision Decision-Making and Learning Under Epistemic Uncertainty Risk-sensitive and ambiguity-aware decision-making frameworks Uncertainty quantification in generative models Active learning, Bayesian experimental design, and uncertainty-aware optimisation EU in reinforcement learning, continual learning, and online learning setting Integration of principled uncertainty models into large-scale architectures (e.g., transformers, diffusion models) Scalable algorithms for traditionally intractable uncertainty models We encourage both theoretical contributions and applied case studies. Submissions that challenge prevailing assumptions, propose novel benchmarks, or provide insights into the philosophical and foundational dimensions of uncertainty in AI are especially welcome. Sent from Outlook for iOS<https://aka.ms/o0ukef>

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IPMU'2026: first call for papers
by Enrique Miranda Sept. 11, 2025

Sept. 11, 2025

******** PLEASE APOLOGIZE FOR MULTIPLE COPIES ******** *********************************************************** 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2026) June 15th-19th, 2026, Rome, Italy https://www.sbai.uniroma1.it/conferenze/ipmu2026/ ************************************************************ The IPMU conference is organized every two years with the aim of bringing together scientists working on information processing and the management of the many aspects of uncertainty. It also serves as an ideal forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2026 edition of IPMU will take place at the Faculty of Economics of Sapienza University of Rome, Italy, in the nearby of the University city of Rome and the main train stations (Termini and Tiburtina). It celebrates the 40th anniversary from the first edition of the conference that took place in Paris, France. The choice of Rome for this special occasion is not a case since Rome and Paris are exclusively and reciprocally twinned, starting from April 1956. Sapienza University of Rome is one of the oldest universities of the world, being it funded in 1303 by Pope Boniface VIII, and is the largest university in Europe. Due to its strategic position, the Faculty of Economics allows to easily reach the plethora of monuments, historic hot-spots and wonderful sightseeing places that awarded to Rome the name of the Eternal city. Get ready for discussing cutting-hedge research on methods for the management of uncertainty and aggregation in one of the most beautiful cities of the world. On behalf of the Organizing Committee of the 21st IPMU Conference, we invite researchers to submit original research contributions (theoretical, methodological, applications) on a specific topic within the scope of the conference which includes (but is not limited to) the following topics: Theory, Methods and Tools: Measures of Information and Uncertainty Bayesian and Probabilistic Methods Evidence, Possibility and Utility Theories Imprecise Probabilities Fuzzy, Rough, Intuitionistic, etc, Sets and operators Fuzzy Logic and other non-classical Logics Multiple Criteria Decision Methods Aggregation Methods Knowledge Acquisition, Representation and Reasoning Graphical Models Machine Learning Evolutionary Computation Neural Networks Data Analysis and Data Science. Application Fields: Big Data Smart Cities Image Processing Intelligent Systems and Information Processing, Logistics, Transportation and Routing Information Retrieval and Fusion Agents E-Health, Medicine and Bioinformatics Finance Fuzzy Optimization SUBMISSION INFORMATION Authors should consult Springer’s authors’ instructionshttps://www.springer.com/gp/computer-science/lncs/conference-pr… and use the proceedings template, either for LaTeX or for Word, for the preparation of their papers. We welcome two types of submissions: regular papers, with a maximum length of 12 pages, and short papers, with a maximum length of 6 pages. Papers must be submitted in PDF via easychair athttps://easychair.org/my/conference?conf=ipmu2026 The accepted long papers of IPMU 2026 will be published in the Communications in Computer and Information Science (CCIS) series, by Springer. GRANTS AND AWARDS A number of student grants provided by EUSFLAT will be provided to support student participation at the conference. In addition, there shall be a number of awards for the best paper and best student paper at the conference. Information about these grants shall provided at the conference website in due course. IMPORTANT DATES Paper submission deadline: January 12, 2026 Notification of acceptance: February 15, 2026 Camera-ready versions: March 1, 2026 Conference: June 15-19, 2026 Contact:ipmu2026@sbai.uniroma1.it General Chair Barbara Vantaggi (Italy) Program Chairs Giulianella Coletti (Italy) Thierry Denoeux (France) Anne Laurent (France) Davide Petturiti (Italy) Publication Chair Enrique Miranda (Spain) Special Session Chair: Jesús Medina (Spain) Social Media Chairs Andrea Cinfrignini (Italy) Silvia Lorenzini (Italy) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA)

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Call for Abstracts – REC2026, TU Dortmund University (2–5 September 2026)
by Faes, Matthias Sept. 8, 2025

Sept. 8, 2025

Dear Colleagues, We are pleased to announce that the abstract submission portal is now open for the 11th International Workshop on Reliable Engineering Computing (REC2026), to be held from 2 to 5 September 2026 at TU Dortmund University, Germany. The central theme of REC2026 is: Reliability Computations in a Data and Model-Driven World We warmly invite you to contribute your latest research on uncertainty quantification, data-driven approaches, and reliability in complex systems. REC2026 will feature keynote lectures, invited talks, and discussions with leading experts from around the world. Submit your abstract here: https://rec2026.web.tu-dortmund.de/ We look forward to receiving your contributions and welcoming you in Dortmund! With best regards, The REC2026 Organizing Committee

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ACM SIGMETRICS Doctoral Dissertation Award -- deadline September 15
by Daniel Sadoc Sept. 3, 2025

Sept. 3, 2025

ACM SIGMETRICS Doctoral Dissertation Award The SIGMETRICS Doctoral Dissertation award recognizes excellent thesis research by doctoral candidates in the field of performance evaluation analysis of computer systems. The award winner will receive a plaque, a $1,000 honorarium, and a complimentary registration to the ACM SIGMETRICS conference. The SIGMETRICS Doctoral Dissertation Award winner and up to two honorable mentions will be recognized at the annual ACM SIGMETRICS conference. *Eligibility:* - The final dissertation defense should take place at the nominee’s host institution during the 12 months prior to the submission deadline and not earlier than the previous submission deadline. Each submitted doctoral dissertation must be on a topic related to the measurement, modeling, analysis, and/or design of computing systems and networks. Of particular interest is work that presents new performance evaluation methods or that creatively applied previously developed methods to make predictions about, or gain insights into, key design tradeoffs in a variety of computing, networked, and cyber-physical systems. The determination of whether a thesis is in scope for the award will be made by the SIGMETRICS Doctoral Dissertation Award Committee. - An English-language version of the dissertation must be submitted with the nomination. - A dissertation can be nominated for both the SIGMETRICS Doctoral Dissertation Award and the ACM Doctoral Dissertation Award. - A supervisor can nominate a maximum of two PhD students in the same year. *Important dates:* - Submission deadline: September 15, 2025. - Notification: November 15, 2025. *Submission procedure:* All nomination materials must be submitted electronically by the supervisor to the 2025 committee chair, Daniel Sadoc Menasche (sadoc(a)dcc.ufrj.br) Please use the subject line: "SIGMETRICS DDA 2025 [candidate name]". You will receive an acknowledgment of successful submission within one week of your email. Nominations must be received by the submission deadline and must be submitted in English. Late submissions will not be considered. Supervisors of co-supervised candidates should coordinate to ensure that only one nomination per candidate is submitted to the committee. Nominations for the award must include: - A statement summarizing the candidate’s PhD thesis contributions and potential impact, and justification of the nomination. Please address the candidate's involvement and contributions with the SIGMETRICS or Performance community. No more than two pages; - A list of papers published within the candidate's thesis; - A copy of the PhD thesis itself; - Two endorsement letters supporting the nomination including the significant PhD thesis contributions of the candidate. Each endorsement should be no longer than 2 pages with a clear specification of the nominee’s PhD thesis contributions and potential impact; - A concise statement (one sentence) of the PhD thesis contribution for which the award is being given. This statement will appear on the plaque and on the SIGMETRICS website. PDF format is required for all materials. ACM's conflict-of-interest guidelines <https://awards.acm.org/conflict-of-interest> apply to all award nominations. The 2025 Doctoral Dissertation Award Committee comprises Daniel Sadoc Menasché (chair), Ningfang Mi, Jayakrishnan Nair, Giovanni Neglia and Ziv Scully.

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Second call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026
by GIUSEPPE SANFILIPPO July 24, 2025

July 24, 2025

Second call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026 Apologies if you receive multiple copies of this message ========================================= Conference announcement ========================================= The 5th Italian Meeting on Probability and Mathematical Statistics will take place in Palermo, Italy, from June 8 to 12, 2026. Website: https://probabilitypalermo2026.unipa.it ================================ Submission Guidelines for a CS ================================ We invite all researchers interested in contributing to the event to submit proposals for Contributed Sessions. The participation of young researchers and PhD students working in Italy or abroad is strongly encouraged. A Contributed Session (CS) consists of four presentations by speakers invited by one or two organizers (organizers may also be among the speakers). In the “Contributed Session” submission form, please include: - The session title - The names of the 4 speakers - A short description of the session To submit a CS, please visit: https://probabilitypalermo2026.unipa.it/contributed-sessions/ ======================== Key Dates ======================== Contributed Session submission deadline: September 30, 2025 Notification of acceptance: November 15, 2025 Abstract submission for accepted CS: December 31, 2025 Early registration deadline: February 28, 2026 ============= Description ============= Established in 2017, the Italian Meeting on Probability and Mathematical Statistics aims to bring together Italian and international researchers with shared interests in any field of probability and mathematical statistics, promoting the dissemination of recent scientific results and fostering academic exchange. The first meeting was held in Turin in 2017. Since then, the meetings have taken place in Vietri sul Mare (2019), Bologna (2022), and Rome (2024). The 5th edition, promoted by the PRISMA group (https://umi-prisma.polito.it/) of the Italian Mathematical Union (UMI), will be held in Palermo, Italy, from June 8 to 12, 2026, at the Campus of the University of Palermo, Viale delle Scienze, (https://probabilitypalermo2026.unipa.it/general-information/) ================ Plenary Speakers ================ We are pleased to announce the following confirmed plenary speakers (https://probabilitypalermo2026.unipa.it/invited-speakers/) - Francesca Biagini (LMU, Germany); - Stefano Favaro (University of Turin, Italy); - Franco Flandoli (Scuola Normale Superiore di Pisa, Italy); - Silvio Micali (MIT, USA); - Giuseppe Savaré (Bocconi University, Italy). ======================== Steering Committee ======================== Giacomo Ascione, Scuola Superiore Meridionale, Naples Claudia Ceci, Sapienza University of Rome Paolo Dai Pra, University of Verona Antonio Di Crescenzo, University of Salerno Marco Fuhrman, University of Milan Domenico Marinucci, University of Rome “Tor Vergata” Laura Sacerdote, University of Turin Giuseppe Sanfilippo, University of Palermo Enrico Scalas, Sapienza University of Rome Barbara Trivellato, Polytechnic University of Turin ======================== Local Committee ======================== https://probabilitypalermo2026.unipa.it/committees/ ~~~~~~~~~~~~~~~~~~~~~~~~~ Giuseppe Sanfilippo Departments of Mathematics and Computer Science, University of Palermo, Italy https://sites.unipa.it/sanfilippo giuseppe.sanfilippo(a)unipa.it ~~~~~~~~~~~~~~~~~~~~~~~~~

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PhD Opportunities in Foundations of Epistemic Uncertainty in Machine Learning at NTU Singapore
by Chau Siu Lun (Asst Prof) July 12, 2025

July 12, 2025

Dear SIPTA community, I am currently recruiting motivated and enthusiastic PhD students with a strong mathematical, statistical, or computer science background to join my group at the College of Computing & Data Science, Nanyang Technological University (NTU), Singapore. The position starts in January (or August) 2026 and is fully funded. Our research focuses on the foundations of epistemic uncertainty in machine learning. The student will work closely with me on both mathematical theory and practical algorithm development, to build intelligent systems that not only make accurate predictions, but can also recognise their limitations and communicate what they know, and how well they know it, with clarity and confidence. Key topics include: imprecise probability, uncertainty quantification, information theory, ensemble methods, cooperative-game theory, and kernel methods. For more details and application instructions, please visit: https://chau999.github.io/group/. I would be very grateful if you could share this opportunity with any strong candidates or relevant networks. Thank you very much. Best regards, Siu Lun --- Siu Lun (Alan) Chau, DPhil (Oxon) Assistant Professor College of Computing & Data Science Nanyang Technological University 50 Nanyang Ave, Block N 4, 639798 Singapore siulun.chau(a)ntu.edu.sg<mailto:siulun.chau@ntu.edu.sg> | https://chau999.github.io/ ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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7th School on Belief Functions: Deadline for grant application approaching
by Serafin Moral June 25, 2025

June 25, 2025

The 7th School on Belief Functions and their Applications University of Granada, Granada, Spain October 19 — October 23, 2025 ****************************************************************** The deadline for grant application is approaching: Deadline for grant application: July 5th Deadline for early registration: July 15th More information at: https://bfasociety.org/BFTA2025/index.html

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AI-Fun with ELLIS Seminar | Theo Damoulas: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by Michele Caprio June 11, 2025

June 11, 2025

Dear SIPTA Members, The Manchester Centre for AI Fundamentals and Manchester's ELLIS Unit are co-hosting a series of seminars featuring expert researchers working in the fundamentals of AI. On 18 June, we are joined by Prof Theo Damoulas from the University of Warwick. Title: Distributionally Robust Optimisation with Bayesian Ambiguity Sets Bio: I am a Professor in Machine Learning and Data Science with a joint appointment in Computer Science and Statistics. I am a Turing AI Fellow (2021-2026) having received the UK Research and Innovation (UKRI) Turing AI Acceleration Fellowship in order to lead research on setting the Machine Learning Foundations of Digital Twins. I am an ELLIS member and also affiliated with New York University as a Visiting Exchange Professor at the Center for Urban Science and Progress (CUSP). My research interests are in probabilistic machine learning and Bayesian statistics with an emphasis on the study and integration of various forms of structure and inductive biases (structured priors, spatiotemporal dependencies, dynamics, compositions, physical laws, flows, causality, etc) while advancing robust and scalable approximate inference methodologies. My research has broad applications in Digital Twins, Bayesian nonparametrics and spatiotemporal problems in urban science and computational sustainability. I am the founder and PI of the cross-departmental Warwick Machine Learning Group and I lead two large projects at The Turing that are impact stories. Please consider joining! Yours, Michele Caprio -- Centre for AI Fundamentals (AI-FUN) is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://zoom.us/j/97677103903 Meeting ID: 976 7710 3903

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Call for Papers – REC2026 at TU Dortmund University
by Faes, Matthias May 21, 2025

May 21, 2025

Call for Papers – REC2026 at TU Dortmund University Dear Colleague, We are pleased to invite you to the 11th International Workshop on Reliable Engineering Computing (REC2026), taking place 2–5 September 2026 at TU Dortmund University, Germany. Under the theme “Reliability Computations in a Data and Model-Driven World,”REC2026 connects classical uncertainty quantification with modern advances in AI and data science. As usually, a specific focus is on the development and application of imprecise probabilistic methods in engineering computations. REC2026 will offer an interdisciplinary forum on uncertainty quantification, risk assessment, and the reliability of engineering computations. The program includes keynote lectures, technical sessions, networking opportunities, a welcome reception (2 Sept), and a conference dinner (4 Sept). Important Dates 01/12/2025 – Abstract Submission 01/04/2026 – Full Paper Submission Submission templates will be provided soon. Mark your calendar and stay tuned! Website: https://rec2026.web.tu-dortmund.de/ <https://ddec1-0-en-ctp.trendmicro.com/wis/clicktime/v1/query?url=https%3a%2…> Flyer attached. With best regards, Matthias Faes (TU Dortmund University) Michael Beer (Leibniz University of Hannover) REC2026 General Chairs

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Gert de Cooman's invited talk in Perugia (Italy)
by Davide Petturiti May 19, 2025

May 19, 2025

Dear SIPTA’s members, I would like to advertise the following invited talk that Gert de Cooman will give on 23 May 2025 in Perugia (Italy) at 11:00 AM (CEST). TITLE: “From accept & reject statements to conservative inference with classical and quantum probabilities: a unified approach”. The invited talk falls within the Workshop PRIN 2022 “Models for dynamic reasoning under partial knowledge to make interpretable decisions” of which I attach the program. For those of you who are interested, Gert’s talk will be streamed online on MS Teams at the following link: https://tinyurl.com/4w3yfknk For more information, do not hesitate to contact me (e-mail: davide.petturiti(a)unipg.it<mailto:davide.petturiti@unipg.it>). All the best, Davide Petturiti [signature_2588867521] Davide Petturiti, Ph.D. Associate Professor Department of Economics University of Perugia Address: Via Pascoli 20, 06123 Perugia, Italy Phone: +39-075-585-5218 Fax: +39-075-585-5950 Email: davide.petturiti(a)unipg.it<mailto:davide.petturiti@dmi.unipg.it> Website: https://sites.google.com/site/davidepetturiti –––––––––––––––––––––––– Associate Researcher at LIP6 - Sorbonne Université<https://www.lip6.fr/actualite/personnes-fiche.php?ident=A88> Team: LFI - Learning, Fuzzy and Intelligent systems Axis: AID - Artificial Intelligence and Data science

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Call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026
by GIUSEPPE SANFILIPPO May 13, 2025

May 13, 2025

Call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026 Apologies if you receive multiple copies. ========================================= Conference announcement ========================================= The 5th Italian Meeting on Probability and Mathematical Statistics will be held in Palermo, Italy, from June 8-12, 2026. See: https://probabilitypalermo2026.unipa.it ============= Description ============= Established in 2017, the Italian Meeting on Probability and Mathematical Statistics aims to bring together Italian and international researchers with shared interests in any field of probability and mathematical statistics, promoting the dissemination of recent scientific results and fostering academic exchange. The first meeting was held in Turin in 2017. Since then, the meetings have taken place in Vietri sul Mare (2019), Bologna (2022), and Rome (2024). The 5th edition, promoted by the PRISMA group (https://umi-prisma.polito.it/) of UMI (Italian Mathematical Union), will be held in Palermo from June 8 to 12, 2026. The official website of the event is: https://probabilitypalermo2026.unipa.it/ The conference will take place on the Campus of the University of Palermo, Viale delle Scienze, Palermo, Italy. The plenary speakers who have already confirmed their participation are: Francesca Biagini (LMU, Munich, Germany), Stefano Favaro (University of Turin, Italy), Franco Flandoli (Scuola Normale Superiore di Pisa, Italy), and Giuseppe Savaré (Bocconi University, Italy). One more invited speaker will be announced soon. We invite all researchers interested in contributing to the event to submit proposals for a Contributed Session. The participation of young researchers and PhD students working in Italy or abroad is strongly encouraged. Poster session proposals will be welcome at a later stage. ================================ Submission Guidelines for a CS ================================ Submission for a Contributed Session (CS) is now open. A contributed session consists of 4 presentations given by speakers invited by one or two organizers (organizers may also be speakers). To submit a Contributed Session please visit: https://probabilitypalermo2026.unipa.it/contributed-sessions/ ======================== Key Dates ======================== Submission of Contributed Sessions (CS): September 30, 2025 Notification of acceptance: November 15, 2025 Abstract submission for accepted CS: December 31, 2025 Early registration deadline: February 28, 2026 ======================== Steering Committee ======================== Giacomo Ascione, Scuola Superiore Meridionale, Naples Claudia Ceci, Sapienza University of Rome Paolo Dai Pra, University of Verona Antonio Di Crescenzo, University of Salerno Marco Fuhrman, University of Milan Domenico Marinucci, University of Rome “Tor Vergata” Laura Sacerdote, University of Turin Giuseppe Sanfilippo, University of Palermo Enrico Scalas, Sapienza University of Rome Barbara Trivellato, Polytechnic University of Turin ======================== Local Committee ======================== https://probabilitypalermo2026.unipa.it/committees/ ~~~~~~~~~~~~~~~~~~~~~~~~~ Giuseppe Sanfilippo Departments of Mathematics and Computer Science, University of Palermo, Italy https://sites.unipa.it/sanfilippo giuseppe.sanfilippo(a)unipa.it ~~~~~~~~~~~~~~~~~~~~~~~~~

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7th School on Belief Functions and their Applications. Call for Participation and Financial Support
by Serafin Moral May 13, 2025

May 13, 2025

######################################################### BFTA 2025 - Call for Participation The 7th School on Belief Functions and their Applications University of Granada, Granada, Spain October 19 — October 23, 2025 <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbfasociet…>https://bfasociety.org/BFTA2025/index.html ######################################################### The BELIEF school is a biennial event organized by the Belief Functions and Applications Society (BFAS) that offers a unique opportunity for students and researchers to learn about fundamental and advanced aspects of the theory of belief functions (also referred to as Dempster-Shafer theory, or evidence theory), a formalism for reasoning with uncertainty. The school will be organized around a set of lectures by prominent researchers. Lectures will gradually tackle basic to more advanced theoretical concepts. They will also highlight the links with other uncertainty theories such as random sets and possibility theory, and present applications of belief functions in various domains including machine learning, information fusion, statistical inference and materials science. Student early registration (which include the tuition fees, lunches, coffee breaks and the social event): 200€ Financial support: Financial support will be offered by BFAS and the journal of Artificial Intelligence to some students for attending the school. Grants will cover registration fees. An additional amount may also be granted to cover part of the travel or accommodation, depending on individual circumstances. ISIF members can ask for a 50% discount on the registration fee. Lectures for this edition available at: https://bfasociety.org/BFTA2025/index.html#programme Important dates: • April 15, 2025: Registration opens • July 15, 2025: Deadline for early-bird registration • July 5, 2025: Deadline for BFAS and AIJ grants application • September 15, 2025: Deadline for registration For further information, contact: bfta2025(a)bfasociety.org With the support of: * Belief Functions and Applications Society (BFAS) * University of Granada * International Society on Information Fusion (ISIF) * Journal of Artificial Intelligence (Elsevier)

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Next SIPTA virtual seminar: Snow Zhang on pooling imprecise probabilities, 13th May, 3pm Paris time
by sdesterc May 6, 2025

May 6, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 13th of May (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/81082468682 For this new seminar, we are very happy to have Snow Zhang as our speaker. Snow Zhang is currently assistant professor in the Department of Philosophy and a member of the Logic Group at the University of California, Berkeley. Snow Zhang research focuses on the foundations and philosophy of probability, with combination of (imprecise) probabilities being one of her privileged topic of investigation. On the 13th of May, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), she will talk about "Probabilistic opinion pooling and imprecise probabilities”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 13th of May, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=gGPF9dUug2g See you at the seminar! Sébastien, Enrique and Jasper

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(Not so random) new post on the SIPTA blog (on randomness and imprecision)
by Alexander Erreygers April 28, 2025

April 28, 2025

Dear imprecise probabilities enthusiasts, Ever thought about the question “when can/should one call an infinite sequence of 0s and 1s random”? You’re not alone! While you may have never thought about this question for more than a couple of minutes, hours or days, Floris Persiau spent about 5 years thinking about this question, over the course of obtaining his doctoral degree. Curious about his way of thinking about this problem (which, of course, included allowing for imprecision), and curious to find out whether he managed to come up with a satisfactory answer? Head over to the SIPTA blog now, where Floris Persiau is handing out small bites of the big cake that is his doctoral dissertation — all for free, no strings attached. Kind regards, Alexander Erreygers

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ISIPTA 2025: call for poster submissions (submission deadline: 5 may)
by sdesterc April 24, 2025

April 24, 2025

*** The organizers would be grateful if you could inform potentially interested participants of this conference. *** ================================================================ 14th International Symposium on imprecise probabilities: theories and applications (ISIPTA 2015) Call for posters The ISIPTA 2025 conference will take place between July 15 and July 18 in Bielefeld, Germany. It will welcome researchers working on imprecise probability theories and connected fields from all over the world, to discuss recent advancements. If you did not have the time to submit a paper, there is still time to submit a poster abstract. This will not only allow you to actively participate in the event, but will also enable you to register at a reduced fee or, if you are a non-tenured scholar, to register for free. Following past ISIPTA traditions, poster submissions will receive substantial attention: each poster is presented at a plenary session as well as at the poster session that follows it, alongside the regular full paper contributions. We therefore encourage you to submit your work as a poster. This could be work in progress that you’d like to present or get feedback on, as well as existing published material that you’d like to present to the ISIPTA audience. Submissions consist of a one page abstract that summarizes the work to be presented. The deadline for poster submissions is May 5, 2025. Acceptance of poster submissions will be notified shortly after the submission. The ISIPTA steering committee • Jasper De Bock • Sébastien Destercke • Alexander Erreygers • Max Nendel • Frank Riedel • Matthias Troffaes ================================================================

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Next SIPTA seminar, Krikamol Muandet on 24th April 15h Paris time, "Imprecise generalisation"
by sdesterc April 17, 2025

April 17, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 24th of April (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/88932866889 For this new seminar, we are very happy to have Krikamol Muandet as our speaker. Krikamol Muandet is currently a chief scientist and tenure-track faculty (fast track) at CISPA - Helmholtz Center for Information Security which is within the Helmholtz Association where he leads the Rational Intelligence (RI) Lab. While Krikamol prime interest lies in machine learning, a field in which he has many contributions, he has also a strong interest in its intersections with imprecise probabilities, and in particular the idea of imprecision in learning. On the 24th of April at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Imprecise generalisation”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 24th of April, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=XeGpbYNe5-Q See you at the seminar! Sébastien, Enrique and Jasper

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Next SIPTA Seminar 25/3 (3pm Paris Time): Michael Beer on "Efficient reliability analysis with imprecise probabilities"
by sdesterc March 18, 2025

March 18, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 25th of March (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/81624342015 For this new seminar, we are very happy to have Michael Beer as our speaker. Since 2015, Micheal Beer is Full Professor and Head of the Institute for Risk and Reliability at Leibniz Universität Hannover. Michael Beer is a leading researcher and expert in reliability and risk analysis, as witness his 2022 Alfredo Ang Award on Risk Analysis and Management of Civil Infrastructure delivered by the American Society of Civil Engineers (ASCE) and American Society of Mechanical Engineers (ASME). In particular, he has many important contributions on how to integrate imprecise probabilistic ideas within risk and reliability problems. On the 25th of March, at 15:00 paris time (up to 17:00, with a talk duration of 45min/1h), he will talk about "Efficient reliability analysis with imprecise probabilities”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 25th of March, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=ECs_3mfPz8M&t See you at the seminar! Sébastien, Enrique and Jasper

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WUPES 2025 - 2nd call for papers
by Václav Kratochvíl March 6, 2025

March 6, 2025

---------------------------------------------------------------------------------------------- *2nd CALL FOR PAPERS* The 13th Workshop on Uncertainty Processing *W U P E S ' 25* Třešť, Czech Republic, June 4 - 7, 2025 http://wupes.utia.cas.cz/2025/ ---------------------------------------------------------------------------------------------- *About* A series of Workshops on Uncertainty Processing (WUPES) has been held in Czechia since 1988. We invite submissions of papers on Uncertainty in Artificial Intelligence, Bayesian Networks, Conditional Independence, Stochastic Analysis, Algebraic Statistics, Information-Theoretical Inequalities, Combinatorial Methods for Secret Sharing, Fuzzy Analysis, Machine Learning, Decision Theory, Management Science, and related fields. More information about WUPES can be found on our webpage: http://wupes .utia.cas.cz/ *Submissions* We invite regular papers. First, an extended abstract (up to two pages long) should be submitted. After notification of acceptance, full papers (maximum 12 pages) should be prepared using the WUPES LaTeX template. Authors of accepted papers are expected to present their work at the workshop. *Special Issue* After the workshop, a special issue of the international journal Kybernetika <https://www.kybernetika.cz/>(published by the Institute of Information Theory and Automation of the Czech Academy of Sciences) will be organized and dedicated to WUPES'25. All selected papers will undergo a regular review process. Kybernetika publishes freely available articles at no charge. Reflecting its focus on computer science, system engineering, applied mathematics, and related interdisciplinary fields, the journal has been indexed in Web of Science and Scopus since its founding in 1965. With an impact factor of 0.9 in 2023, Kybernetika provides a platform for high-quality research. *Important Dates* - March 14, 2025: Submission of extended abstracts - March 28, 2022: Notification of acceptance - April 11, 2025: Early registration & payment deadline - May 2, 2025: Camera-ready copy of the final paper due - June 4-7, 2025: Workshop in Třešť, Czechia *Program Committee* - Milan Studený - chair, Czech Academy of Sciences - Nihat Ay, Hamburg University of Technology, Germany - Andrea Capotorti, Università di Perugia, Italy - László Csirmaz, Alfréd Rényi Inst. of Mathematics, Hungary - Radim Jiroušek, Czech Academy of Sciences, Czechia - Gernot D. Kleiter, Salzburg University, Austria - Prakash P. Shenoy, University of Kansas, USA *Organizing Committee* - Jirka Vomlel - chair, Czech Academy of Sciences - Radim Jiroušek, Czech Academy of Sciences - Václav Kratochvíl, Czech Academy of Sciences - Milan Studený, Czech Academy of Sciences *Venue* The WUPES 2025 conference will take place in the magnificent Třešť Castle, a historic site owned by the Czech Academy of Sciences. Originally a medieval fortress, the castle has undergone transformations from Renaissance to Baroque architecture and now serves as a center for academic and research activities. Participants will enjoy the serene castle park, ideal for quiet walks and relaxation. Třešť is located in the scenic Vysočina region, celebrated for its rolling hills, forests, and cultural landmarks. A highlight of the area is the UNESCO World Heritage Site of Telč, just 24 minutes away by train with regular hourly service. Telč, known for its Renaissance architecture and charming town square, offers a unique excursion opportunity for participants. For any further questions, please get in touch with the chair: *Jirka VomlelEmail: vomlel(a)utia.cas.cz <vomlel(a)utia.cas.cz>*

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New post on the SIPTA blog: report on the EpImp Concluding Conference
by Van Camp, Arthur Feb. 25, 2025

Feb. 25, 2025

Dear imprecise probabilities enthusiasts, The SIPTA website<https://sipta.org/> has a new blog post. Kevin Blackwell has written a report on the EpImp Concluding Conference. This event, organised by Jason Konek’s ERC-funded project “Epistemic Utility for Imprecise Probabilities”, took place on 18 and 19 December in Bristol. You can find Kevin’s report here<https://sipta.org/blog/epimp-2024/>! Kind regards, Arthur Van Camp

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IJCRS 2025 Extension Deadline
by Stefania Boffa Feb. 17, 2025

Feb. 17, 2025

Dear Colleagues, Let me inform you that the deadline for abstract and full paper submission to the *11th International Joint Conference on Rough Sets (IJCRS 2025)* has been extended to *February 28, 2025 *(firm deadline). - IJCRS 2025 will support a *hybrid format*, allowing both in-person and online participation. - Conference* website*: IJCRS 2025 <http://ijcrs2025.cqupt.edu.cn/#/home> Best wishes Stefania Boffa IJCRS 2025 Publicity Chair

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SIPTA 2025 extended deadline (9th February - final deadline) + important dates
by Sébastien Destercke Jan. 28, 2025

Jan. 28, 2025

Dear Colleagues, We are happy to let you know that we have extended the full paper deadline for ISIPTA (International Symposium on Imprecise Probabilities: Theories and Applications) by one week. Here are all the important dates you need to know if you intend to submit a (long) paper: * Extended Submission deadline: 9th February (final) * First decision to authors: 28th March * Final decision (for papers needing revision): 18th April * Registration deadline: 1st June And, in case you still do not have time to prepare a proper paper, you are very much welcome to submit a one-page abstract to be presented as a poster * Poster submission deadline: 27th April, followed by a quick decision. We look forward to welcome you all in Bielefeld! ISIPTA program committee board Sébastien Destercke Alexander Erreygers Max Nendel Frank Riedel Matthias Troffaes

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SIPTA seminar on 3rd of February (3pm Paris time): Brian Hill, "Confidence in beliefs in rational policy making"
by sdesterc Jan. 28, 2025

Jan. 28, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 3rd of February (Monday). The zoom link for this seminar is https://utc-fr.zoom.us/j/81067801110 For this new seminar, we are very happy to have Brian Hill as our speaker. Brian Hill is Research Director at the French National Centre for Scientific Research (CNRS) and CNRS Research Professor in the Economics and Decision Sciences at HEC Paris. He is also Academic Director of the Inclusive Economy Centre in the Sustainability & Organizations Institute (S&O) at HEC Paris. He has been the recipient of the CNRS Bronze Medal for early-career researchers, one of the most prestigious French science award. One of his recent research programs has focused on what counts as a rational reaction to severe uncertainty or “ambiguity”. His research also focuses on important societal issues, such as how to reduce inequality and the role of uncertainty in environmental policies. On the 3rd of February, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Confidence in beliefs in rational policy making”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 3rd of February, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=GdHIecdHpEg See you at the seminar! Sébastien, Enrique and Jasper

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ISIPTA 2025 - second call for paper
by sdesterc Jan. 17, 2025

Jan. 17, 2025

Dear colleagues, The deadline to submit long papers to ISIPTA, which is the 2nd of February, is fast approaching! The International Symposium on Imprecise Probabilities: Theories and Applications is the premier international event dedicated to the exploration of imprecise probabilities, providing a platform for both theoretical advancements and practical applications. ISIPTA also has a strong tradition of favouring discussions among its participants. To do so, accepted contributions will be presented and discussed in two separate sessions. The first session features presentations that are short and plenary. The second, longer session is devoted to detailed explanations and discussions that are face-to-face and rely on whichever medium you prefer – but having a poster is encouraged – so as to favour interaction among participants. ISIPTA will also welcome a number of renowned keynote speakers: • Carole Bernard (Grenoble École de Management & Vrije Universiteit Brussel) • Itzhak Gilboa (Hautes Études Commerciales de Paris) • Peter Grünwald (Centrum Wiskunde & Informatica & Leiden University) • Jan Obłój (University of Oxford) We invite contributions on all aspects of imprecise probabilities, a term encompassing a wide range of mathematical and statistical models that quantify uncertainty without the restriction of precise probabilities. Topics of interest include, but are not limited to, sets of probability measures, partial preference orderings, game-theoretic probability, choice functions, interval probabilities, risk measures, nonlinear expectations, belief functions, and possibility theory. We accept two types of submissions: full papers and one-page abstracts. The submission deadlines are February 2nd, 2025 for full papers and April 27th, 2025 for one-page abstracts; additional important dates like notification of paper acceptance will be communicated in due course. Submission is through the EasyChair platform following the instructions on the conference website for formatting guidelines. All contributions will be made available on the conference website. Papers will be published in the Proceedings of Machine Learning Research, although authors have the option to opt out of publication. Registration is free for non-tenured scholars with accepted submission, and € 200 for tenured faculty with accepted submission. The fee for scholars without accepted submission and industry participants is € 600. The registration fee includes lunch, coffee breaks, social dinner, and participation in the social event. Registration is up to June 1st, 2025, but we encourage participants to register only after a final decision on their submission has been made. We look forward to welcoming you to Bielefeld! The ISIPTA 2025 Steering Committee Jasper De Bock Sébastien Destercke Alexander Erreygers Max Nendel Frank Riedel Matthias Troffaes

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Next SIPTA seminar: 22nd January 15h Paris time, Erik Quaeghebeur on probabilistic circuits
by sdesterc Jan. 13, 2025

Jan. 13, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 22nd of January (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/81782582392 For this new seminar, we are very happy to have Erik Quaeghebeur as our speaker. Erik Quaeghebeur is Assistant Professor at the Eindhoven university of technology, Netherlands. Erik is well known within the world of imprecise probabilities, as he started his career with making many foundational contributions to statistic and decision with imprecision, to then complement it with impactful works on the optimisation of windfarms. Among other topics, he is currently working on developing probabilistic circuits and their imprecise counterpart. On the 22nd of January, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "The wondrous world of credal and deep probabilistic circuits”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 22nd of January, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=Yd_nDt4SIjg&t See you at the seminar! Sébastien, Enrique and Jasper

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New post on the SIPTA blog
by Van Camp, Arthur Dec. 21, 2024

Dec. 21, 2024

Dear IP enthusiasts, The SIPTA blog<https://sipta.org/blog/> has another new blogpost. You can learn more about Giacomo Molinari's doctoral research<https://sipta.org/blog/thesis-giacomo/> on Deference Principles for Imprecise Probabilities. Kind regards, Arthur Van Camp

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[Jobs] Research Fellow in Autonomous Driving under Uncertainty (Jan 19)
by Fabio Cuzzolin Dec. 20, 2024

Dec. 20, 2024

The Visual Artificial Intelligence Laboratory @ Oxford Brookes <https://www.linkedin.com/company/visual-ai-lab/> (VAIL) at Oxford Brookes University <https://www.linkedin.com/company/oxfordbrookes/>, led by Professor <https://www.linkedin.com/in/ACoAAAW5OSgBrV7rQei3wMC_5Dj5_9UA8fT7kp4>Fabio Cuzzolin <https://www.linkedin.com/in/fabio-cuzzolin/>, is seeking a fellow to be appointed as soon as possible, full-time, for a period of 12 months or until the end of the project (February 2026). The #ResearchFellow <https://www.linkedin.com/feed/hashtag/?keywords=researchfellow&highlightedU…> will join the Lab’s efforts in the context of the #Horizon2020 <https://www.linkedin.com/feed/hashtag/?keywords=horizon2020&highlightedUpda…> FET-Open project “Epistemic AI” coordinated by Oxford Brookes, with KU Leuven <https://www.linkedin.com/company/ku_leuven/> and Delft University of Technology <https://www.linkedin.com/company/tudelft/> as the other partners. https://lnkd.in/grbkStWQ The project’s overarching objective is to develop a new paradigm for a next-generation artificial intelligence providing worst-case guarantees on its predictions thanks to a proper modelling of real-world uncertainties. The project re-imagines AI from the foundations, with the aim of providing a proper treatment of the #epistemic <https://www.linkedin.com/feed/hashtag/?keywords=epistemic&highlightedUpdate…> #uncertainty <https://www.linkedin.com/feed/hashtag/?keywords=uncertainty&highlightedUpda…> stemming from a machine’s forcibly partial knowledge of the world by means of advanced uncertainty theory. The Fellow will assist Prof Cuzzolin with the coordination of the H2020 Epistemic AI project and maintain a smooth communication among the project partners. In particular, they will lead the research work of Work Package 3 (Science-to-technology breakthrough in autonomous driving), by developing new frameworks for object detection and scene understanding under uncertainty, as well as inverse reinforcement learning. They will join another research fellow and co-supervise the two PhD students hired under the project, while helping with the general management of the Visual AI Lab. The Visual Artificial Intelligence Laboratory is a fast-growing research unit of 24 members, active in #deeplearning <https://www.linkedin.com/feed/hashtag/?keywords=deeplearning&highlightedUpd…> for action detection, #uncertainty <https://www.linkedin.com/feed/hashtag/?keywords=uncertainty&highlightedUpda…> in #artificialintelligence <https://www.linkedin.com/feed/hashtag/?keywords=artificialintelligence&high…> , #machinelearning <https://www.linkedin.com/feed/hashtag/?keywords=machinelearning&highlighted…> (e.g. #continuallearning <https://www.linkedin.com/feed/hashtag/?keywords=continuallearning&highlight…> ), #computervision <https://www.linkedin.com/feed/hashtag/?keywords=computervision&highlightedU…> , #autonomousdriving <https://www.linkedin.com/feed/hashtag/?keywords=autonomousdriving&highlight…>, surgical and mobile #robotics <https://www.linkedin.com/feed/hashtag/?keywords=robotics&highlightedUpdateU…> , #AI <https://www.linkedin.com/feed/hashtag/?keywords=ai&highlightedUpdateUrns=ur…> for healthcare. The Lab is currently pioneering frontier topics such as machine # theoryofmind <https://www.linkedin.com/feed/hashtag/?keywords=theoryofmind&highlightedUpd…>, evolving machine intelligence, intrinsically-aligned AI, epistemic # foundationmodels <https://www.linkedin.com/feed/hashtag/?keywords=foundationmodels&highlighte…>, AI for science, #neuraloperators <https://www.linkedin.com/feed/hashtag/?keywords=neuraloperators&highlighted…> under uncertainty. Within autonomous driving, we are recognised as the creators of the series of ROAD datasets for #situationalawareness <https://www.linkedin.com/feed/hashtag/?keywords=situationalawareness&highli…> , https://lnkd.in/enx8wDMJ https://lnkd.in/e5hyeFyf https://lnkd.in/e6k48Q6T the organisation of 5 recent workshops at top conferences (at ICCV, ECCV, UAI, IROS)hashtag and we are working to incubate a <https://www.linkedin.com/feed/hashtag/?keywords=iccv&highlightedUpdateUrns=…> hashtag <https://www.linkedin.com/feed/hashtag/?keywords=spinoff&highlightedUpdateUr…>and we are working to incubate a spinoff company on robust hashtag#perception <https://www.linkedin.com/feed/hashtag/?keywords=perception&highlightedUpdat…> and end-to-end planning for autonomous vehicles. VAIL is part of the University’s new Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute <https://www.linkedin.com/company/artificial-intelligence-data-analysis-and-…>, directed by Cuzzolin. Please apply here (vacancy ID number of 174959): https://my.corehr.com/pls/oburecruit/erq_jobspec_details_form.jobspec?p_id=… or contact Fabio at fabio.cuzzolin(a)brookes.ac.uk for more information. The deadline for application is 19 January 2025.

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ISIPTA 2025: Call for papers
by Alexander Erreygers Dec. 20, 2024

Dec. 20, 2024

The International Symposium on Imprecise Probabilities: Theories and Applications<https://sipta.org/events/isipta/> is the premier international event dedicated to the exploration of imprecise probabilities, providing a platform for both theoretical advancements and practical applications. The 14th edition of this biennial conference series will be held at the Bielefeld University Center for Interdisciplinary Research<https://www.uni-bielefeld.de/__uuid/fcd0d2db-5ed3-45a1-b122-685b58074571/> from Tuesday, July 15, 2025, to Friday, July 18, 2025. We invite contributions on all aspects of imprecise probabilities, a term encompassing a wide range of mathematical and statistical models that quantify uncertainty without the restriction of precise probabilities. Topics of interest include, but are not limited to, sets of probability measures, partial preference orderings, game-theoretic probability, choice functions, interval probabilities, risk measures, nonlinear expectations, belief functions, and possibility theory. As is tradition at ISIPTA, accepted contributions will be presented and discussed in two separate sessions. Presentations are short and plenary. Detailed explanations and discussions are face-to-face relying on whichever medium you prefer – but having a poster is encouraged – so as to favour interaction among participants. We accept two types of submissions: full papers and one-page abstracts. The submission deadlines are February 2nd, 2025 for full papers and April 27th, 2025 for one-page abstracts; additional important dates like notification of paper acceptance will be communicated in due course. Submission is through the EasyChair platform<https://easychair.org/conferences/?conf=isipta2025> following the instructions on the conference website<https://isipta25.sipta.org/submission> for formatting guidelines. All contributions will be made available on the conference website. Papers will be published in the Proceedings of Machine Learning Research<https://proceedings.mlr.press/>, although authors have the option to opt out of publication. Registration is free for non-tenured scholars with accepted submission, and € 200 for tenured faculty with accepted submission. The fee for scholars without accepted submission and industry participants is € 600. The registration fee includes lunch, coffee breaks, social dinner, and participation in the social event. Registration is up to June 1st, 2025, but we encourage participants to register only after a final decision on their submission has been made. We look forward to welcoming you to Bielefeld! The ISIPTA 2025 Steering Committee Jasper De Bock Sébastien Destercke Alexander Erreygers Max Nendel Frank Riedel Matthias Troffaes

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7th School on Belief Functions and their Applications: Preliminary Announcement
by Serafin Moral Dec. 18, 2024

Dec. 18, 2024

*************************************************************************************** 7th School on Belief Functions and their Applications Oct 19-23, 2025 University of Granada, Granada, Spain https://www.bfasociety.org/BFTA2025 bfta2025(a)bfasociety.org *************************************************************************************** PRELIMINARY ANNOUNCEMENT(more information coming soon) The BELIEF school is a biennial event organized by the Belief Functions and Applications Society (BFAS) that offers a unique opportunity for students and researchers to learn about fundamental and advanced aspects of the theory of belief functions (also referred to as Dempster-Shafer theory, or evidence theory), a formalism for reasoning with uncertainty. The school will be organized around a set of lectures by prominent researchers. Lectures will gradually tackle basic to more advanced theoretical concepts. They will also highlight the links with other uncertainty theories such as random sets and possibility theory, and present applications of belief functions in various domains including machine learning, information fusion, statistical inference and materials science. Financial Support The Belief Functions and Applications Society (BFAS) is offering several grants that cover the school registration fees (which include the tuition fees, lunches, coffee breaks and the social event). Organizing committee * Serafin Moral (Chair), University of Granada, Spain * Inés Couso, University of Oviedo, Spain * Enrique Miranda, University of Oviedo, Spain * Thierry Denœux, University of Technology of Compiègne, France * Anne-Laure Jousselme, CS Group Research Lab, France * Frédéric Pichon, Artois University, France * David Mercier, Artois University, France

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PhD Opportunity
by Michele Caprio Dec. 12, 2024

Dec. 12, 2024

PhD Position at The University of Manchester in the area of Uncertainty in Machine Learning The Faculty of Humanities<https://www.humanities.manchester.ac.uk/> of The University of Manchester has an open Bicentenary PhD Studentship<https://www.humanities.manchester.ac.uk/study/postgraduate-research/funding…> position. The PhD research's more specific areas are eXplainable Deep Learning (XDL) and Uncertainty Quantification (UQ). The research focuses on developing new techniques based on Imprecise Probability Theory, that will improve the current state of the art at the intersection of XDL and UQ. This project allows for doing both fundamental and applied research, with the aim of advancing and bridging both theory and applications. The candidate should hold a master's degree in Mathematics, Computer Science, Statistics, or a related field. Further details about this position, and a link to the application system, can be found at https://www.findaphd.com/phds/project/hums-bicentenary-phd-deep-uncertainty… For further information, please contact Michele Caprio (michele.caprio(a)manchester.ac.uk<mailto:michele.caprio@manchester.ac.uk>).

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Fwd: CFP-IJCRS 25
by Boffa, Stefania Dec. 11, 2024

Dec. 11, 2024

Dear Colleagues, Let me share the CFP of the *11th International Joint Conference on Rough Sets (*IJCRS 2025 <http://ijcrs2025.cqupt.edu.cn/#/home>*) *with you*.* Best wishes Stefania Boffa IJCRS 2025 Publicity Chair

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WUPES 2025 - Call for papers
by Milan Studeny Dec. 11, 2024

Dec. 11, 2024

Dear colleagues, perhaps some of you may be interested in a small informal workshop WUPES with broad flexible scope, to be organized next June -- see below. best wishes Milan Studeny (in name of WUPES organizers) ---------------------------------------------------------------------------------------------- *CALL FOR PAPERS* The 13th Workshop on Uncertainty Processing *W U P E S ' 25* Třešť, Czech Republic, June 4 - 7, 2025 http://wupes.utia.cas.cz/2025/ ---------------------------------------------------------------------------------------------- *About* A series of Workshops on Uncertainty Processing (WUPES) has been held in Czechia since 1988. We invite submissions of papers on Uncertainty in Artificial Intelligence, Bayesian Networks, Conditional Independence, Stochastic Analysis, Algebraic Statistics, Information-Theoretical Inequalities, Combinatorial Methods for Secret Sharing, Fuzzy Analysis, Machine Learning, Decision Theory, Management Science, and related fields. More information about WUPES can be found on our webpage: http://wupes.utia.cas.cz/ *Submissions* We invite regular papers. First, an extended abstract (up to two pages long) should be submitted. After notification of acceptance, full papers (maximum 12 pages) should be prepared using the WUPES LaTeX template. Authors of accepted papers are expected to present their work at the workshop. *Special Issue* After the workshop, a special issue of the international journal Kybernetika <https://www.kybernetika.cz/>(published by the Institute of Information Theory and Automation of the Czech Academy of Sciences) will be organized and dedicated to WUPES'25. All selected papers will undergo a regular review process. Kybernetika publishes freely available articles at no charge. Reflecting its focus on computer science, system engineering, applied mathematics, and related interdisciplinary fields, the journal has been indexed in Web of Science and Scopus since its founding in 1965. With an impact factor of 0.9 in 2023, Kybernetika provides a platform for high-quality research. *Important Dates* - March 14, 2025: Submission of extended abstracts - March 28, 2022: Notification of acceptance - April 11, 2025: Early registration & payment deadline - May 2, 2025: Camera-ready copy of the final paper due - June 4-7, 2025: Workshop in Třešť, Czechia *Program Committee* - Milan Studený - chair, Czech Academy of Sciences - Nihat Ay, Hamburg University of Technology, Germany - Andrea Capotorti, Università di Perugia, Italy - László Csirmaz, Alfréd Rényi Inst. of Mathematics, Hungary - Radim Jiroušek, Czech Academy of Sciences, Czechia - Gernot D. Kleiter, Salzburg University, Austria - Prakash P. Shenoy, University of Kansas, USA *Organizing Committee* - Jirka Vomlel - chair, Czech Academy of Sciences - Radim Jiroušek, Czech Academy of Sciences - Václav Kratochvíl, Czech Academy of Sciences - Milan Studený, Czech Academy of Sciences *Venue* The WUPES 2025 conference will take place in the magnificent Třešť Castle, a historic site owned by the Czech Academy of Sciences. Originally a medieval fortress, the castle has undergone transformations from Renaissance to Baroque architecture and now serves as a center for academic and research activities. Participants will enjoy the serene castle park, ideal for quiet walks and relaxation. Třešť is located in the scenic Vysočina region, celebrated for its rolling hills, forests, and cultural landmarks. A highlight of the area is the UNESCO World Heritage Site of Telč, just 24 minutes away by train with regular hourly service. Telč, known for its Renaissance architecture and charming town square, offers a unique excursion opportunity for participants. For any further questions, please get in touch with the chair: *Jirka VomlelEmail: vomlel(a)utia.cas.cz " target="_blank">" target="_blank">" target="_blank"><vomlel(a)utia.cas.cz>*

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Next SIPTA seminar: 12th December 15h Paris time, Frederic Pichon on information fusion
by sdesterc Dec. 4, 2024

Dec. 4, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 12th of December (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/88087921468 For this new seminar, we are very happy to have Frédéric Pichon as our speaker. Frédéric Pichon is Professor of Computer Science at Université D’artois, in the LGI2A. Frédéric is a widely recognised expert in belief functions, with interest in combinatorial optimisation, information fusion and machine learning. On the 12th of December, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Reliability and dependence in the combination of evidence”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 12th of December, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=OqZhJ6QL4x0&t See you at the seminar! Sébastien, Enrique and Jasper

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Invitation to the EpImp Concluding Conference: 18–19 December 2024, Bristol
by Van Camp, Arthur Nov. 29, 2024

Nov. 29, 2024

Dear Imprecise Probability Enthusiast, We are delighted to invite you to the EpImp Concluding Conference, the final event of the ERC-funded project 'Epistemic Utility for Imprecise Probability'. This conference will take place on 18 and 19 December 2024 in Bristol, UK. We are thrilled to announce an outstanding lineup of speakers, with presentations scheduled as follows: Wednesday, 18 December 09:00–10:15: Francesca Zaffora Blando 10:30–11:45: Branden Fitelson 13:00–14:15: Jason Konek & Giacomo Molinari 14:30–15:45: Gregory Wheeler 16:00–17:15: Gert de Cooman Thursday, 19 December 09:00–10:15: Matthias Troffaes 10:30–11:45: Catrin Campbell-Moore 13:00–14:15: J. Dmitri Gallow 14:30–15:45: Kevin Blackwell & Arthur Van Camp 16:00–17:15: Kevin Dorst Further details are available on our conference website: https://ep-imp.gitlab.io/concluding-conference-2024/. Registration This event is open to everyone interested in imprecise probabilities. Registration is free of charge, and we will provide lunch and coffee to all registered participants. To secure your place, please complete the following form by 7 December: https://doodle.com/sign-up-sheet/participate/3f234fc0-a397-4150-86f0-cddc2f…. Speakers do not need to complete this form. Venue The conference will be held at the Wills Memorial Building, Queens Rd, Bristol BS8 1QE, United Kingdom. You can find the location here: https://www.openstreetmap.org/?mlat=51.45636&mlon=-2.60456#map=18/51.45636/…. Accommodation recommendations For proximity to the venue, we recommend the following accommodations: - The Berkeley Square Hotel (https://cliftonhotels.com/bristol-hotels/berkeley-square) - The Clifton Hotel Bristol (https://cliftonhotels.com/bristol-hotels/clifton-bristol-city-centre) - The Washington Guesthouse Bristol (https://cliftonhotels.com/bristol-hotels/washington) If you have any questions or require further information, please do not hesitate to contact us. We look forward to welcoming you to Bristol this December! Warm regards, The EpImp Team: Jason Konek (Chair of the Organising Committee) – jason.konek(a)bristol.ac.uk<mailto:jason.konek@bristol.ac.uk> Kevin Blackwell Giacomo Molinari Arthur Van Camp

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Fwd: CFP - IJCRS 2025
by Stefania Boffa Nov. 27, 2024

Nov. 27, 2024

Dear Colleagues, Let me share the CFP of the *11th International Joint Conference on Rough Sets (*IJCRS 2025 <http://ijcrs2025.cqupt.edu.cn/#/home>*) *with you*.* Best wishes Stefania Boffa IJCRS 2025 Publicity Chair

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CNRS positions open (16 total in the two computer science committees)
by sdesterc Nov. 23, 2024

Nov. 23, 2024

Dear (young) colleagues, As every year, CNRS (and INRIA) is opening nation-wide positions in every field of science (for CNRS, INRIA focuses mostly on computer science and applied mathematics). For most people here, this would mean positions available in Philosophy, Economy, Mathematics and Computer Science, but maybe others. Those positions are permanent and full-time research positions, with a lot of flexibility in how you manage your time and activities. CNRS candidates typically have to produce a summary of past research and a research project for the next 5-10 years, and give three teams or laboratory (these have to be joint research units, but there are such research units in many places in France). For computer science, the official website is there: https://www.ins2i.cnrs.fr/en/cnrsinfo/researchers-competition-2025-list-pos… And you can fetch some useful info there: https://mathurinm.github.io/cnrs_inria_advice/ In computer science, recruited candidates are typically young researchers, i.e., having less than 7-8 years of research experience since the beginning of the PhD thesis (but there can be exceptions). This may change if you want to apply, e.g., in economy or philosophy, as every field has its particularities. If you wish to apply, you should try to identify and contact ASAP a laboratory in France where you would like to work (e.g., by just looking up in which laboratory is your favourite French researcher working), and contact them. Laboratories that have people dealing with imprecision in uncertainty or that would be interested in candidates working in these fields include mine, but also the CRIL (Lens), IRIT (Toulouse), GREGHEC and LAMSADE (Paris), and a couple others! Deadline for applications are beginning of January, but putting up a good application file takes quite some time and efforts. I can try to reply to your possible questions if you have some. However, I will mostly have information about the committees and processes concerned with computer science, automatic, robotic, signal treatment, machine learning and uncertainty propagation. Best Sébastien

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Next SIPTA seminar: 22nd November 3pm Paris Time. Jason Konek on philosophy and decision making
by sdesterc Nov. 19, 2024

Nov. 19, 2024

Dear Siptians, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 22nd of November (Friday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85974092076 For this new seminar, we are very happy to have Jason Konek as our speaker. Jason Konek is currently Senior Lecturer at the philosophy department of Bristol University. Jason Konek had many contribution in the philosophy of imprecise probabilities, and has notably been awarded a prestigious ERC Grant “Epistemic Utility for Imprecise Probability” to pursue his work on this topic. On the 22nd of November, at 15:00 Paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Bringing philosophy and IP into conversation: Puzzles and challenges for decision theory”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 22nd of November, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=GToHUaaIzjc&t=681s See you at the seminar! Sébastien, Enrique and Jasper

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REC 2026: mark your calendars, imprecise probabilities are one of the highlighted topics
by Kreinovich, Vladik Nov. 14, 2024

Nov. 14, 2024

The 11th International Workshop on Reliable Engineering Computing REC 2026 will be heled in Dortmund, Germany, on September 2-4, 2026 (dates are tentative) REC2026 will provide a multi-disciplinary forum to bring together various engineering and associated disciplines with the common focus on methodologies and theories in the field of risk and uncertainty. As in the previous biennial REC-meetings, the central theme of the discussions will be the reliability of engineering computations. Covering a broad range of topics, REC2024 aims to address the urgent need for innovative theories and advanced computational approaches to ensure safety of engineering systems starting with uncertainty quantification of input parameters. Topics include but are not limited to: * Uncertainty analysis and modeling * Reliability analysis * Risk analysis * Reliability-based design * Performance-based design * Risk-informed decision-making * Sustainability and resilience * Risk and hazard mitigation * Optimization under uncertainty * Inverse problems * Model reduction * Surrogate models * System and parameter identification * Structural health monitoring * Reliability analysis * Risk analysis * Reliability-based design * Performance-based design * Risk-informed decision-making * Sustainability and resilience * Risk and hazard mitigation * Optimization under uncertainty * Inverse problems * Model reduction * Surrogate models * System and parameter identification * Structural health monitoring Methods and theories may include: * Probability theory * Stochastic approaches * Bayesian theory * Fuzzy set theory * Imprecise probabilities * Evidence theory * P-box approach * Fuzzy probability theory * Interval analysis * Fuzzy analysis * Convex modeling * Information gap theory * AI and Machine Learning Contributions are invited with emphasis on both theory and applications. Previous REC-meetings have been hosted: * at Georgia Tech Savannah (United States) in 2004, 2006, and 2008, * at the National University of Singapore in 2010, * at Brno University of Technology in Brno (Czech Republic) in 2012, * at Illinois Institute of Technology in Chicago (United States) in 2014, * at Ruhr University Bochum (Germany) in 2016, * at Liverpool University (United Kingdom) in 2018, * online in 2021 (due to COVID-19 pandemic), * at Tsinghua University in Beijing (China) in 2024. Contacts: * Matthias Fass matthias.faes(a)tu-dortmund.de<mailto:matthias.faes@tu-dortmund.de> * Michael Beer beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de>

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I: [CISPA-Researchers] Guest talk by Michele Caprio (University of Manchester) on 19 Nov at 1400.
by Michele Caprio Nov. 12, 2024

Nov. 12, 2024

Of possible interest for someone in the SIPTA community 🙂 Yours, Michele ________________________________ Da: Siu Lun Chau <siu-lun.chau(a)cispa.de> Inviato: martedì 12 novembre 2024 10:53 A: researchers(a)lists.cispa.saarland <researchers(a)lists.cispa.saarland> Cc: Michele Caprio <michele.caprio(a)manchester.ac.uk> Oggetto: [CISPA-Researchers] Guest talk by Prof Michele Caprio (University of Manchester) on 19 Nov at 1400. Dear CISPA Researcher, You are cordially invited to Michele Caprio's (University of Manchester) research talk next Tuesday at 2 p.m. in D2 room 1.01. The talk is also available on Zoom [cispa-de.zoom-x.de]<https://urldefense.com/v3/__https://cispa-de.zoom-x.de/my/muandet__;!!PDiH4…>. Title: Optimal Transport for Epsilon Contaminated Credal Set Talk Abstract: We provide a version for lower probabilities of Monge's and Kantorovich's optimal transport problems. We show that, when the lower probabilities are the lower envelopes of ε-contaminated sets, then our version of Monge's, and a restricted version of our Kantorovich's problems, coincide with their respective classical versions. We also give sufficient conditions for the existence of our version of Kantorovich's optimal plan, and for the two problems to be equivalent. As a byproduct, we show that for ε-contaminations the lower probability versions of Monge's and Kantorovich's optimal transport problems need not coincide. The applications of our results to Machine Learning and Artificial Intelligence are also discussed. Bio: Michele is a Lecturer (Assistant Professor) in Machine Learning and Artificial Intelligence at The University of Manchester. He obtained his PhD in Statistics from Duke University, and worked as a postdoctoral researcher in the Department of Computer and Information Science of the University of Pennsylvania. His general interest is probabilistic machine learning, and in particular the use of imprecise probabilistic techniques to investigate the theory and methodology of uncertainty quantification in Machine Learning and Artificial Intelligence. Recently, he won the IJAR Young Researcher and the IMS New Researcher Awards, and he was elected a member of the London Mathematical Society. P.S. Michele is visiting our group for a week, so if anyone is interested in learning about his amazing work on imprecise probabilistic machine learning, feel free to reach out and set up a meeting. Best, Siu Lun Chau --- Siu Lun (Alan) Chau, Ph.D (Oxon) | Postdoctoral Researcher CISPA - Helmholtz Center for Information Security Stuhlsatzenhaus 5, 66123 Saarbrücken, +44 7415137484 | siu-lun.chau(a)cispa.de | https://chau999.github.io/ [chau999.github.io]<https://urldefense.com/v3/__https://chau999.github.io/__;!!PDiH4ENfjr2_Jw!G…>

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PhD Position at The University of Manchester in the area of Uncertainty in Machine Learning
by Michele Caprio Nov. 7, 2024

Nov. 7, 2024

PhD Position at The University of Manchester in the area of Uncertainty in Machine Learning The UKRI AI CDT in Decision Making for Complex Systems<https://www.ai-decisions-cdt.ac.uk/> — joint between The University of Manchester and the University of Cambridge — has an open position for a PhD student in Manchester. The PhD research's more specific area is Imprecise Probabilistic Machine Learning. The research focuses on developing a new Multimodal Learning paradigm based on the notion of Credal Sets. This project allows for doing both fundamental and applied research, with the aim of advancing and bridging both theory and applications. The candidate should hold a master's degree in mathematics, computer science, statistics, or a related field. Further details about this position, and a link to the application system, can be found at https://www.findaphd.com/phds/project/multimodal-credal-learning-theory/?p1… For further information, please contact Michele Caprio (michele.caprio(a)manchester.ac.uk<mailto:michele.caprio@manchester.ac.uk>).

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First Announcement: 14th International Symposium on Imprecise Probabilities (ISIPTA 2025) - Bielefeld
by Alexander Erreygers Oct. 17, 2024

Oct. 17, 2024

We are excited to announce that the 14th International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2025) will be held at the Bielefeld University Center for Interdisciplinary Research from Tuesday, July 15, 2025, to Friday, July 18, 2025. ISIPTA is the premier international event dedicated to the exploration of imprecise probabilities, providing a platform for both theoretical advancements and practical applications. We invite contributions on all aspects of imprecise probabilities, a term encompassing a wide range of mathematical and statistical models that quantify uncertainty without the restriction of precise probabilities. Topics of interest include, but are not limited to, sets of probability measures, partial preference orderings, game-theoretic probability, choice functions, interval probabilities, risk measures, nonlinear expectations, belief functions, and possibility theory. The symposium will feature both contributed sessions and keynote talks from leading experts in the field. Keynote speakers are • Carole Bernard (Grenoble École de Management & Vrije Universiteit Brussel) • Itzhak Gilboa (Hautes Études Commerciales de Paris) • Peter Grünwald (Centrum Wiskunde & Informatica & Leiden University) • Jan Obłój (University of Oxford) The deadline for full paper submissions is February 2nd, 2025. More information about submission will follow in due course. For further details, please visit the conference website: https://isipta25.sipta.org/home . We look forward to welcoming you to Bielefeld! The ISIPTA 2025 Steering Committee Jasper De Bock Sébastien Destercke Alexander Erreygers Max Nendel Frank Riedel Matthias Troffaes

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I: OASIS talk next Friday: Michele Caprio - Imprecise Probability in Machine Learning
by Michele Caprio Oct. 16, 2024

Oct. 16, 2024

Of possible interest for someone in the SIPTA community 🙂 Yours, Michele ________________________________ Da: Paolo Perrone <paolo.perrone(a)cs.ox.ac.uk> Inviato: lunedì 14 ottobre 2024 10:08 A: talk-announce(a)cs.ox.ac.uk <talk-announce(a)cs.ox.ac.uk>; Rob Cornish <rob.cornish(a)stats.ox.ac.uk>; Kaushik Chintam <k.chintam(a)se23.qmul.ac.uk>; Michele Caprio <michele.caprio(a)manchester.ac.uk> Oggetto: OASIS talk next Friday: Michele Caprio - Imprecise Probability in Machine Learning Hi all, The OASIS seminar is back! (https://www.cs.ox.ac.uk/seminars/oasis/ [cs.ox.ac.uk]<https://urldefense.com/v3/__https://www.cs.ox.ac.uk/seminars/oasis/__;!!PDi…>) This Friday at 2 PM AM in Lecture Theatre A we are going to have an OASIS talk by Michele Caprio (University of Manchester), titled "Imprecise Probabilistic Machine Learning: Being Precise About Imprecision". The abstract is below. Before the talk some of us are planning to have lunch with the speaker. If you are interested in joining us, please let me know by Thursday morning. The talk is also accessible remotely, at the following Zoom link: https://cs-ox-ac-uk.zoom.us/j/99562853810?pwd=VmJFUlhNbVJwOUpjTE5hUk9LUkMvU… [cs-ox-ac-uk.zoom.us]<https://urldefense.com/v3/__https://cs-ox-ac-uk.zoom.us/j/99562853810?pwd=V…> Meeting ID: 995 6285 3810 Passcode: 983333 For further information see the following links, https://www.cs.ox.ac.uk/seminars/oasis/ [cs.ox.ac.uk]<https://urldefense.com/v3/__https://www.cs.ox.ac.uk/seminars/oasis/__;!!PDi…> https://www.cs.ox.ac.uk/seminars/2688.html [cs.ox.ac.uk]<https://urldefense.com/v3/__https://www.cs.ox.ac.uk/seminars/2653.html__;!!…> All the best, Paolo --- Speaker: Michele Caprio (University of Manchester) Title: Imprecise Probabilistic Machine Learning: Being Precise About Imprecision Abstract: This talk is divided into two parts. I will first introduce the field of “Imprecise Probabilistic Machine Learning”, from its inception to modern-day research and open problems, including motivations and clarifying examples. In the second part, I will present some recent results that I've derived on Imprecise Markov Processes. I will introduce the concept of an imprecise Markov semigroup Q. It is a tool that allows to represent ambiguity around both the initial and the transition probabilities of a Markov process via a compact collection of plausible Markov semigroups, each associated with a (different, plausible) Markov process. I will use techniques from geometry, functional analysis, and (high dimensional) probability to study the ergodic behavior of Q. I will show that, if the initial distribution of the Markov processes associated with the elements of Q is known and invariant, under some conditions that also involve the geometry of the state space, eventually the ambiguity around their transition probability fades. I call this property ergodicity of the imprecise Markov semigroup, and I will relate it to the classical notion of ergodicity. I will present ergodicity when the state space is Euclidean or a Riemannian manifold. The importance of my findings for the fields of machine learning and computer vision will also be discussed. This talk is based on the following work, https://arxiv.org/abs/2405.00081 [arxiv.org]<https://urldefense.com/v3/__https://arxiv.org/abs/2405.00081__;!!PDiH4ENfjr…>, where I also extend the results to the case where the state space is an arbitrary measurable space.

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Next SIPTA virtual seminar: Alessio benavoli on "Learning from preferences and choice functions", 24th October (3pm Paris time)
by sdesterc Oct. 14, 2024

Oct. 14, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 24th of October (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/89110869537 For this new seminar, we are very happy to have Alessio Benavoli as our speaker. Alessio Benavoli is Associate Professor in Statistics at the School of Computer Science and Statistics, Trinity College Dublin, Ireland. Alessio is a widely recognised expert in imprecise probability theories, in which he has done foundational work, and has connected imprecise probabilities to a bunch of different fields such as Machine Learning, Artificial intelligence, Quantum Mechanics, Control, ... On the 24th of October, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Learning from preferences and choice functions”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 24th of October, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=2tGQi8tpVvY&list=PLXsgvF2_g5Ht-BYPWsSjcunA3… See you at the seminar! Sébastien, Enrique and Jasper

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FW: Call for Papers: IUKM 2025, 17 - 19 March 2025, Ho Chi Minh City, Vietnam (Extended deadline)
by Kreinovich, Vladik Oct. 2, 2024

Oct. 2, 2024

FYI, imprecise probabilities are one of the highlighted topics -----Original Message----- From: Van Nam Huynh <huynh.vannam(a)gmail.com> Sent: Wednesday, October 2, 2024 9:09 AM Subject: Call for Papers: IUKM 2025, 17 - 19 March 2025, Ho Chi Minh City, Vietnam (Extended deadline) [Apologies for cross-posting. Your help in circulating this call for papers to potentially interested parties is highly appreciated.] ———————————————————————————————————————————————————— CALL FOR PAPERS ———————————————————————————————————————————————————— IUKM 2025: The Eleventh International Symposium on INTEGRATED UNCERTAINTY in KNOWLEDGE MODELLING and DECISION MAKING 17 - 19 March 2025, Ho Chi Minh City, Vietnam Conference website: https://www.jaist.ac.jp/IUKM/IUKM2025/ Submission deadline: 15 October, 2024 (Extended) ———————————————————————————————————————————————————— The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) aims to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty management and application. The Eleventh International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2025) will be held in Ho Chi Minh City, Vietnam during 17-19 March, 2025, and be jointly organized by Industrial University of Ho Chi Minh City, University of Science (Vietnam National University Ho Chi Minh City), and Japan Advanced Institute of Science and Technology (JAIST). ———————————————————————————————————————————————————— Proposal for special sessions and workshops is encouraged and welcome. List of Topics: Relevant topics for the IUKM 2025 Symposium include (but are not limited to) the following: —————Theory and Methodology————— Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods Modelling uncertainty and inconsistency in big data Learning and reasoning with uncertainty Logics for reasoning under uncertainty Uncertainty modelling in machine learning and deep learning Information fusion and knowledge integration in uncertain environments Decision making under various types of uncertainty Aggregation operators for decision making Copulas for dependence modelling Granular and soft computing Computational intelligence —————Application————— Data mining and knowledge discovery Multi-agent reinforcement learning Ontology engineering and Semantic Web Privacy preserving data analysis Intelligent data analysis and modelling Agents and argumentation Natural language processing Medical informatics and bioinformatics Ranking and recommendation systems Big data and cloud computing Social network analysis and mining Sensor fusion System identification and modelling Diagnosis and reliability Decision support systems Kansei/affective engineering Service computing Engineering management Supply chain management Environmental management Economics and econometrics Statistics and Applications --------------------------------------------------- Paper Submission and Publication: The authors are invited to submit their full papers by 15 October, 2024. The submissions will be peer-reviewed for originality and scientific quality. As done in previous editions, the proceedings of IUKM 2025 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Symposium. ————————————————————————— _______________________________________________ General Chairs: Masahiro Inuiguchi (Osaka University, Japan) Hieu T. Huynh (Industrial University of Ho Chi Minh City, Vietnam) Program Chairs: Van-Nam Huynh (Japan Advanced Institute of Science and Technology, Japan) Katsuhiro Honda (Osaka Prefecture University, Japan) Bac H. Le (University of Science, Vietnam National University (VNU)-Ho Chi Minh City, Vietnam)

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2024 SIPTA School: Lecture recordings/materials & recap
by Alexander Erreygers Sept. 27, 2024

Sept. 27, 2024

Dear IP enthusiasts and sympathisers, It’s been more than a month already since the eleventh edition of the SIPTA School on Imprecise Probabilities took place in Ghent, so about time for us to announce that the recordings of (selected) lectures are available on SIPTA's YouTube channel<https://www.youtube.com/watch?v=gyDqpSY5B5s&list=PLXsgvF2_g5HsKtgnqhuW9sWQA…> and that all of the lecture material (slides, notebooks, …) is available on the school’s website<https://school24.sipta.org/programme>. If you want to get an even better idea of the nice atmosphere during the school, we encourage you to read Adrián Detavernier’s post on the SIPTA blog<https://sipta.org/blog/school-2024/> — although sometimes pictures<https://school24.sipta.org/photo-gallery/> do say more than words. Kind regards, Floris Persiau and Alexander Erreygers The 2024 SIPTA School organisers

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PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence
by Van Camp, Arthur July 11, 2024

July 11, 2024

PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence The Uncertainty in Artificial Intelligence Group (https://uai.win.tue.nl<https://uai.win.tue.nl/>) at Eindhoven University of Technology has an open position for a PhD student. The employment is full time for five years, with an intermediate evaluation (go/no-go) after nine months. The PhD research's more specific area is imprecise probability theory. The research focuses on bringing the theory of choice functions to applications. This project allows for doing fundamental research, with the aim of advancing the theory towards applications. The candidate should hold a master's degree in mathematics, computer science, or a related field. Further details about this position, and a link to the application system, can be found at https://jobs.tue.nl/en/vacancy/phd-in-uncertainty-in-artificial-intelligenc…. For further information, please contact Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>).

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[CfP] Call for Contributions - WSCL @ ECAI 2024 Workshop - Deadline Extension
by Andrea Campagner July 1, 2024

July 1, 2024

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) workshop Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We welcome different types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work; ● review transfer for papers rejected at ECAI main track. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. If you want to take advantage of this option, aside from submitting your contribution to the workshop, you should also fill-in the form at https://forms.gle/QPav5rHVMCuSMhFZ9 before the 11th July 2024 Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 12th July 2024 ● Review Transfer submission deadline: 12th July 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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IPMU2024 - Call for Participation
by Christophe Marsala June 24, 2024

June 24, 2024

Dear All, The program of the IPMU 2024 conference is now online: https://ipmu2024.inesc-id.pt/?page_id=806 It is still time to register to attend the conference in Lisbon! Best regards, Christophe Marsala ----------------------------------------------- * 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024,* Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. *Topics and Scope of the Conference **/Theory, Methods and Tools:/* Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. /*Application Fields: */Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. /IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work./ *IPMU'24 keynote speakers * * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) *IMPORTANT DATES* - Special session proposals: December 4th, 2023 - Notification of acceptance special sessions: December 11th, 2023 - Paper submission: March 8th, 2024 - Notification of acceptance: April 5th, 2024 - Camera-ready paper submission: April 30th, 2024 - Early/author registration: April 30th, 2024 *- Conference: July 22nd - 26th, 2024* /General Chair /João Paulo Carvalho (Portugal)/ Program Chairs/ Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) /Publication Chair/ Fernando Batista (Portugal) /Special Session Chair:/ Anna Wilbik (Netherlands) /Publicity Chair/ Christophe Marsala (France) /Executive Directors/ Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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SUM 2024 - Call with EXTENDED DEADLINE (11 July)
by sdesterc June 21, 2024

June 21, 2024

***Apologies if you receive multiple copies. Please disseminate to potentially interested colleagues.*** Dear colleagues, Due to various requests, we have decided to extend the SUM 2024 submission deadline to the 11 July. Please find below the main information regarding the conference. ========================================= Conference announcement + key dates ***EXTENDED*** ========================================= The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 24, 2024 Paper Submission: July 11, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2024 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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Today's SIPTA seminar: Eyke Hüllermeier, "the Challenge of Quantifying Epistemic Uncertainty in Machine Learning"
by Jasper De Bock June 14, 2024

June 14, 2024

Dear colleagues, In case you hadn’t heard yet: the next SIPTA online seminar on imprecise probabilities (IP) is less than two hours away. These monthly events are open to anyone interested in IP, and are followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The zoom link for today's seminar is https://utc-fr.zoom.us/j/86257697233 For this seminar, we are very happy to have Eyke Hüllermeier as our speaker. Eyke Hüllermeier is a full professor at the Institute of Informatics at LMU Munich, Germany, where he heads the Chair of Artificial Intelligence and Machine Learning. His research interests are centered around methods and theoretical foundations of artificial intelligence, with a specific focus on machine learning and reasoning under uncertainty. He has published more than 300 articles on these topics in top-tier journals and major international conferences, and several of his contributions have been recognized with scientific awards. Professor Hüllermeier is President of the European Association for Data Science (EuADS) and Editor-in-Chief of Data Mining and Knowledge Discovery, one of the leading journals in the field of AI. Today at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "the Challenge of Quantifying Epistemic Uncertainty in Machine Learning”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars<http://sipta.org/events/sipta-seminars>. The zoom link for attending the seminar is also available on that same page. So please join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=tUlb6ybqfpI&list=PLXsgvF2_g5Ht-BYPWsSjcunA3… See you at the seminar! Sébastien, Enrique and Jasper

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Scalable Uncertainty Mangement 2024 (November 27-29, Palermo): second call for paper
by sdesterc June 6, 2024

June 6, 2024

Our apologies if you receive multiple copies of this mail. =================================== Conference announcement + key dates =================================== The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 17, 2024 Paper Submission: June 24, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are currently bi-annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2024 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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Call for Contributions - WSCL @ ECAI 2024 Workshop (Last Reminder)
by Andrea Campagner June 4, 2024

June 4, 2024

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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SIPTA school 2024: last call for registrations
by Floris Persiau June 3, 2024

June 3, 2024

Dear interested researchers, young(er) and old(er), Only 1 month remains to register for the SIPTA school 2024 (deadline 30 June 2024). So, whether you want to find out why there is more to uncertainty than probabilities, deepen your knowledge on imprecise probabilities, or see how these more general uncertainty models are used and applied in a variety of fields, we urge you to enrol through our registration page<https://school24.sipta.org/registration/>. We recall from previous mails that the school takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium. At the moment, a late bird fee of € 125 applies. In return, you’ll get lectures from leading experts in the field, free lunches and coffee breaks, an easy-going pizza night, and a kayak excursion on the canals of Ghent. More information can of course be found on https://school24.sipta.org/. Be there or be square<https://imgur.com/gallery/be-there-be-square-Y2wfm>, Floris & Alexander

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[job] PhD in probabilistic ML @ TU Eindhoven
by Cassio de Campos May 22, 2024

May 22, 2024

Dear all, We are currently looking for a PhD candidate in probabilistic machine learning; please forward the information below to any parties you think might be interested! We are particularly interested in imprecise probability related topics. best regards, cassio. --- Are you interested in working on foundational issues of robustness and reliability of probabilistic AI? Are you motivated to translate your theoretical results to real-world problems in healthcare? Then come join us as our next PhD-candidate in the Uncertainty in AI group! The Uncertainty in Artificial Intelligence (UAI) group is a growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology (https://dai.win.tue.nl) In the DAI cluster, we aim at developing foundations of AI for the present and the future. This includes the design of new AI methods, development of AI algorithms, and tools with a view at expanding the reach of AI and its generalization abilities. In particular, we study foundational issues of robustness, safety, trust, reliability, tractability, scalability, interpretability, and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together with the successful candidate and in line with the NWO Perspectief Project Personalised Care in Oncology (www.personalisedcareinoncology.nl) The research topics may include, but are not restricted to: * Probabilistic graphical models (Markov, Bayesian, credal networks) * Causality: Theory and application * Cautious AI, including imprecise probabilities * Robust stochastic processes * Tractable models and decision-making * Online/continual learning with evolving data Job requirements * Master’s degree in Mathematics, Statistics, Computer Science, or a related field * Excellent analytical and mathematical skills * Affinity with developing theoretical results * Excellent algorithmic skills (including realizing it via coding) * Excellent academic writing and presentation skills * Proficiency in English (written and spoken) * Desire to conduct excellent research and publish in high quality conferences and journals * Independent thinker and self-responsibility * Ability and desire to collaborate and work in teams * Ability and desire to support teaching and to co-supervise bachelor and master students For more information and applying (deadline 23 June 2024), please see https://jobs.tue.nl/en/vacancy/phd-in-probabilistic-machine-learning-108125… If you have further questions, please don't hesitate to contact me! Best, dr. Thomas Krak t.e.krak [at]tue.nl Assist. Prof. in UAI group Eindhoven University of Technology

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New post on the SIPTA blog
by Van Camp, Arthur May 15, 2024

May 15, 2024

Dear IP enthusiasts, Just over one month after the previous update, the SIPTA blog<https://sipta.org/blog/> has another new blogpost. You can learn more about Loïc Adam's doctoral research<https://sipta.org/blog/thesis-loic/> on learning preferences under severe uncertainty. Kind regards, Arthur Van Camp

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PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence
by Van Camp, Arthur May 8, 2024

May 8, 2024

PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence Deadline: 2 June 2024 The Uncertainty in Artificial Intelligence Group (https://uai.win.tue.nl) at Eindhoven University of Technology has an open position for a PhD student. The employment is full time for five years, with an intermediate evaluation (go/no-go) after nine months. The PhD research's more specific area is imprecise probability theory. The research focuses on bringing the theory of choice functions to applications. This project allows for doing fundamental research, with the aim of advancing the theory towards applications. The candidate should hold a master's degree in computer science, mathematics, or a related field. Further details about this position, and a link to the application system, can be found at https://jobs.tue.nl/en/vacancy/phd-in-uncertainty-in-artificial-intelligenc…. Applications should be submitted by 2 June 2024 or earlier. For further information, please contact Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>).

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Call for Contributions - WSCL @ ECAI 2024 Workshop
by Davide Elio Ciucci May 6, 2024

May 6, 2024

Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it <mailto:andrea.campagner@unimib.it> (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it <mailto:davide.ciucci@unimib.it> ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr <mailto:sebastien.destercke@hds.utc.fr> ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es <mailto:luciano@uniovi.es>

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CFP: 8th International Conference on Belief Functions (BELIEF 2024), Belfast, UK, Sept 2-4, 2024
by Thierry Denoeux April 24, 2024

April 24, 2024

****** Call for Papers ****** https://bfasociety.org/Belief2024/ <https://antiphishing.vadesecure.com/v4?f=S1Zkd042VWdrZG5qQUxxWkcxtM9e_ll4Bo…> The 8th International Conference on Belief Functions (BELIEF 2024) New Dates: September 2nd-4th, 2024 (updated) Location: Belfast, Ulster University, Northern Ireland, UK * April 30, 2024: Paper submission deadline (extended) * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Keynote speakers: Professor Zhi-Hua Zhou, Nanjing University, China Professor Prakash P. Shenoy, University of Kansas, United States Professor Frederic Pichon, Artois University, France ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/ <https://antiphishing.vadesecure.com/v4?f=S1Zkd042VWdrZG5qQUxxWkcxtM9e_ll4Bo…>) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September2nd-4th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk <mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu <mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France ---------- Prof. Thierry Denoeux Université de technologie de Compiègne Institut universitaire de France Rue Roger Couttolenc, CS 60319 60203 Compiègne cedex, France https://www.hds.utc.fr/~tdenoeux

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Next SIPTA virtual seminar: 30th April (3pm Paris time), Christoph Jansen on decision making applied to ML and stat
by sdesterc April 18, 2024

April 18, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 30th of April (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85460316690 For this new seminar, we are very happy to have Christoph Jansen as our speaker. Christoph Jansen is currently a postdoctoral researcher and habilitation candidate at the Department of Statistics of LMU Munich, where he works on decision making in complex and weakly informed systems, with applications to machine learning and statistics. On the 30th of April, at 15:00 paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Decision making under weakly structured information with applications to robust statistics and machine learning”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 30th of April, and join us for the occasion. And for those who missed the previous seminars and want to catch up, or simply want to see them again and again, they are online at https://www.youtube.com/playlist?list=PLXsgvF2_g5Ht-BYPWsSjcunA3SgNiuw51 See you at the seminar! Sébastien, Enrique and Jasper

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PhD @Idsia in Counterfactual Fairness and Causal Explainability
by Antonucci Alessandro April 17, 2024

April 17, 2024

Ph.D. Position @Idsia in the area of Counterfactual Fairness and Causal Explainability Deadline: April 29, 2024 The Dalle Molle Institute for Artificial Intelligence (IDSIA, idsia.ch) of Lugano (Switzerland) has an open position for a PhD student. This is a full-time (100%) position for a student active in the area of Counterfactual Fairness and Causal Explainability. The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models. The successful candidate holds a Master's degree in Engineering or another STEM field (obtained or close to being obtained). Experience with Pytorch and proficiency in Python are optional but desirable skills. The starting date is June 2024 (or as can be arranged by mutual agreement). For further information, please contact Alessandro Antonucci (alessandro(a)idsia.ch) and Alessandro Facchini (alessandro.facchini(a)idsia.ch) The link for the application is https://www.supsi.ch/en/bando2008. Applications should be submitted by April 29th, 2024.

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Two new posts on the SIPTA blog
by Alexander Erreygers April 12, 2024

April 12, 2024

Dear IP enthusiasts and sympathizers, Still looking for some weekend reading? The SIPTA blog<https://sipta.org/blog> has got you covered with not one but two new — or at least recently new — posts. You can learn more about Arianna Casanova’s doctoral research on rationality and desirability<https://sipta.org/blog/thesis-arianna/>, or eavesdrop on a conversation between Michele Caprio and Eyke Hüllermeier<https://sipta.org/blog/interview-eyke/> on Eyke's career, the challenges of using imprecise probabilities in the field of machine learning, and much more. Expect more blog posts like this in the near future! Kind regards, Alexander Erreygers SIPTA's Executive Editor PS: In the SIPTA Seminar on 30 April 2024, Christoph Jansen will be speaking about decision making under weakly-structured information; read the abstract of his talk here<http://localhost:1313/events/sipta-seminars/>.

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Call for Contributions - WSCL @ ECAI 2024 Workshop
by Andrea Campagner April 10, 2024

April 10, 2024

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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Call for New Elsevier Textbooks - Probability and Statistics 1e
by Cohen, Stephanie (ELS-HBE) April 4, 2024

April 4, 2024

Dear Executive Editor at SIPTA, I hope this email finds you well this April. My name is Stephanie Cohen, and I'm the Acquisitions Editor for Physical Sciences at Elsevier's STEM Education Textbook program, based in New York, NY. I was hoping to send out a call to your list-serv for individuals who would be interested in authoring a new textbook. Recently, I've been researching and gathering faculty feedback on a range of related courses in Statistics & Probability, so that I can better understand student and professor needs at the undergraduate and graduate levels, as well as current resources. We have identified Probability & Statistics as an area where a new, carefully considered textbook may be empowering both for students and faculty, both here in the U.S. and globally. Currently a smattering of different textbooks appear to be in use. Currently, I am seeking potential author(s) for a title in this vein, as well as further feedback or suggestions, and would be very open to any thoughts you may have, or your own in involvement in authoring a textbook. There is certainly room for adjustments or textbook topics other than the proposed one above for a new textbook-happy to discuss! Thank you. I would be glad to share more information about our book development processes as well, or have a call to answer any questions anyone might have. All my best, Stephanie Cohen Stephanie Cohen Acquisitions Editor, Physical Science Textbooks ELSEVIER | Global Content Partners St.cohen(a)elsevier.com<mailto:St.cohen@elsevier.com>

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SIPTA School 2024: (Re)mind the dates!
by Floris Persiau April 2, 2024

April 2, 2024

To all interested researchers, young(er) and old(er), fast(er) and slow(er), Since the early bird deadline of the SIPTA School 2024 is approaching, we like to remind you to bear the following in mind: * If you want to make use of the early bird fee, you should register<https://school24.sipta.org/registration/> before 15 April 2024. The same deadline applies if you want to make use of our option to rent a private room for the duration of the summer school. * We have 5 grants available for (partially) covering your accommodation and transport costs. If you want to apply for one of these grants, you should do so by 10 April 2024. We remind you that the school’s aim is to introduce doctoral students – and other interested researchers – to the basics of imprecise probabilities, from its foundations in (applied) mathematics and logic to its applications in quantum physics, economy and AI. More information on the full programme, the lecturers, etc. can of course be found on the school’s website<https://school24.sipta.org/>. Date and location The SIPTA School 2024 takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium. Registration For doctoral students at a Flemish University, the registration fee is € 0 and the deadline for registration is 30 June 2024. For all other participants, the registration fee depends on the moment of registration. There is an early bird fee of € 100, which requires you to register before 15 April 2024. After this deadline, a late bird fee of € 125 will apply, and the deadline for registration is 30 June 2024 as well. All fees include admission to the lectures, lunches, coffee breaks, a pizza night and a kayak session. Moreover, we also provide you with the option to rent a private room for the duration of the summer school, which comes at a cost of € 330. If you want to make use of this option, then you must register before 15 April 2024. Grants We can distribute 5 grants to students who experience financial barriers to attending the summer school. In addition to waiving the registration fee, every grant provides free accommodation, and covers (part of) your transport costs up to € 250. The deadline for application is 10 April 2024; more information on how to apply for these grants can be found in the Registration<https://school24.sipta.org/registration/> section of the school’s website. We look forward to welcoming and meeting you in Ghent! Please (continue) spread(ing) the word! With kind regards, Floris Persiau and Alexander Erreygers

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Re: IPMU 2024 call for short papers / extended abstract (extended deadline)
by Kreinovich, Vladik April 1, 2024

April 1, 2024

FYI, papers using imprecise probabilities are always welcome at this series of conferences From: Christophe Marsala Sent: Monday, April 1, 2024 1:23 PM Dear All, Attached you can find the call for short papers / Extended abstract for the next IPMU 2024, the deadline to submit such papers has been extended. Best regards, Christophe Marsala ----------------------------------------------- 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024, Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. Keynote Spearkers * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) Topics and Scope of the Conference Theory, Methods and Tools: Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. Application Fields: Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work. Short papers / Extended Abstracts IPMU will also accept short paper / extended abstracts of up to 4 pages. Short papers’ acceptance will be based on a 1-page abstract that will be checked for appropriateness and relevance. · The 1-page abstract must be submitted through EasyChair system, at the same link of regular papers<https://easychair.org/my/conference?conf=ipmu2024>. Do not enclose any attachment, edit the abstract directly in the online window of the EasyChair system. Submissions without an attached paper will be considered as short papers / extended abstracts. · The abstracts can be submitted to one of the proposed special sessions or the general track of IPMU2024. · Short papers / extended abstracts will be included in the regular conference program and Book of Abstracts, and will be presented orally. · Accepted short papers will not be published by Springer. A separate volume, with its own DOI, containing the accepted works, will be published in open access. Authors may opt to not include their work in this volume. Details regarding the submission of the 4-page document will be provided after the paper acceptance. IMPORTANT DATES - Paper submission: March 8th, 2024 - Notification of acceptance (regular paper): April 16th, 2024 - Short paper / Extended abstract submission : April 23th, 2024 - Camera-ready paper submission: May 7th, 2024 - Early/author registration: May 7th, 2024 - Conference: July 22nd-26th, 2024 General Chair João Paulo Carvalho (Portugal) Program Chairs Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) Publication Chair Fernando Batista (Portugal) Special Session Chair: Anna Wilbik (Netherlands) Publicity Chair Christophe Marsala (France) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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ISIPTA seminar: errata (Babara Vantaggi, 26th March)
by sdesterc March 20, 2024

March 20, 2024

Dear Colleagues, You will probably have corrected this yourself, but due to an autocorrect function and my own impatience to announce the seminar, there was a mistake in the title date and in the name of our esteemed speaker. This is, and will be a talk by Barbara Vantaggi, on the 26th of March, at 3pm Paris time. Best regards, and sorry for any incovenience. Sébastien

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Next SIPTA seminar: Barbara Vantage (IP and finance), 16th March at 3pm Paris time.
by sdesterc March 20, 2024

March 20, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 26th of March (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/86044393366 For this new seminar, we are very happy to have Barbara Vantaggi as our speaker. Barbara Vantage is a Full Professor of Mathematical Methods of Economics, Finance and Actuarial Sciences at the University La Sapienza, Roma. She is well-known for her many contributions to the foundations of (imprecise) probabilistic reasoning under coherence, decision making under uncertainty and their development to financial applications. On the 26th of March at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), she will talk about "A dynamic Choquet pricing rule with bid-ask spreads under Dempster–Shafer uncertainty”, showing how imprecise probabilistic approaches can be useful in financial mathematics. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page, where you will also find announcements of our next seminars. So please mark your calendars on the 26th of March, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=LG4trFXC53g See you at the seminar! Sébastien, Enrique and Jasper

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BELIE 2024 - Call for Papers
by Bi, Yaxin March 18, 2024

March 18, 2024

****** Call for Papers ****** https://bfasociety.org/Belief2024/ The 8th International Conference on Belief Functions (BELIEF 2024) New Dates: September 2nd-4th, 2024 (updated) Location: Belfast, Ulster University, Northern Ireland, UK * April 15, 2024: Paper submission deadline * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Keynote speakers: Professor Zhi-Hua Zhou, Nanjing University, China Professor Prakash P. Shenoy, University of Kansas, United States Professor Frederic Pichon, Artois University, France ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 2nd-4th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk<mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu<mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Deadline Extended - 1st International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets)
by Cristina Rottondi March 14, 2024

March 14, 2024

Dear colleagues, I'm sharing the updated CfP of thTX4Nets workshop, with extended submission deadline to April 14. Contributions on uncertainty quantification applied to telecommunication networks are welcome. Best regards, Cristina Rottondi ***Please accept our apologies if you receive multiple copies of this call for paper*** ------------------- 1st International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets) co-located with IFIP Networking 2024<https://networking.ifip.org/2024/index.php/> Thessaloniki, Greece, 3-6 June 2024 Link to the official workshop website: https://sites.google.com/view/tx4nets2024 ------------------- *** TX4Nets 2024 CALL FOR PAPER *** link to CFP: https://sites.google.com/view/tx4nets2024/call-for-papers Aim and Scope In light of next communication networks characterized by zero-touch network management, network operators have started the deployment of automated AI-based frameworks addressing various use cases including resource allocation, failure prediction and identification, traffic prediction. However, these deployments predominantly function as black boxes, with practitioners unable to comprehend the internal reasoning or decision processes of these automated AI-based frameworks. In this context, eXplainable Artificial Intelligence (XAI) emerges as a promising collection of frameworks and technologies designed to enhance the transparency of black-box models. XAI achieves this by providing explanations for the decisions made, enabling practitioners to eliminate bias influencing models, understand when to trust or distrust model decisions, and gain insights into the problem at hand. In addition to this, it also becomes of paramount importance to design and adopt models and methods that are inherently able to quantify their uncertainty in taking decisions based on conformal prediction. This, in turn, facilitates a reliable and Trustworthy deployment of machine learning and Artificial Intelligence models. While the application of Trustworthy and Explainable Artificial Intelligence has been extensively explored in diverse domains such as healthcare and finance, its implementation in communication networks has been relatively sparse, despite being considered of paramount importance. This workshop seeks to address this gap by shedding light on the potential applications of Trustworthy and Explainable AI in achieving transparent AI-based automation for networking. The primary objective of the workshop is to foster collaboration among AI/ML and telecom engineers, facilitating the sharing and exchange of experiences and ideas related to all aspects of trustworthy and explainable AI for network management. Topics of Interest The topics of interest for TX4Nets 2024 include, but are not limited to: * XAI for Model Trustworthiness in Networks * XAI for Trustworthy Network management * XAI-driven Network Performance Optimization * Trustworthiness in AI Models for Communication Networks * XAI for trustworthy AI in Optical, Wireless, Microwave, B5G/6G Networks * XAI for Optical, Wireless, or Microwave Networks * XAI for Autonomous Networks * XAI for Zero Touch Networks * XAI for the Edge/Cloud and Internet-of-Things * XAI for network security, privacy, resilience, reliability, and safety * XAI Applied to Networking * XAI Applied to Network Management * XAI applied to Failure Management * Security and Explainability in AI for Communication Networks * Reliability and Explainability in AI for Communication Networks * Human-in-the-Loop Systems for AI in Communication Networks * Fair Federated Learning for Communication Networks * Fair AI-based Resource Allocation in Communication Networks * Model Uncertainty Quantification and Explainability for Communication Networks * Model Uncertainty Quantification and Explainability for Network Security * Conformal Predictions Applied to Communication Networks * Impact of Adversarial Attacks on Communication Networks AI Model Trustworthiness * Case Studies and Deployments of XAI in Communication Networks * XAI for Open RAN in 6G Networks * AI for trustworthy IoT and Autonomous System Applications * Ethical Considerations in AI for Communication Networks * Interoperability and Standards in AI for Communication Networks * Regulatory Landscape for AI in Communication Networks * New Business Models for XAI * Explainable Reinforcement Learning in Communication Networks * Causal Machine Learning for Networking * Causal Reinforcement Learning for Networking * XAI for federated learning-based solutions of 5G/6G and future networks * XAI for transfer learning-based solutions of 5G/6G and future networks * XAI for digital twin-based solutions of 5G/6G and future networks Important Dates Paper Submission: April 14, 2024 (extended, firm) Notification of Acceptance: April 27, 2024 Camera-ready Submission: May 6, 2024 Workshop Date: 3 June 2024 (tentative) Paper Submission Authors are invited to submit original contributions that have not been published nor has been submitted for publication elsewhere. Papers should be prepared using the IEEE double-column conference style (10pt font) and are limited to 6 pages including references. Papers must be submitted electronically in PDF format on EDAS through this link: https://www.edas.info/newPaper.php?c=31469&track=123080 All papers will be peer reviewed and the comments will be provided to the authors. Once accepted, the paper will be included in the conference proceedings and will be eligible for submission to the IEEE Xplore Digital Library. At least one author of each accepted paper is required to register and present the work in the workshop. Further information can be found on the official website of TX4Nets 2024: https://sites.google.com/view/tx4nets2024 Workshop Organizers Omran Ayoub, University of Applied Sciences of Southern Switzerland, Switzerland Cristina Rottondi, Politecnico di Torino, Italy Tania Panayiotou, University of Cyprus, Cyprus Sebastian Troia, Politecnico di Milano, Italy Marco Savi, University of Milano-Bicocca, Italy

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PhD in Conformal Prediction and Credal Probabilistic Machine Learning
by Michele Caprio March 8, 2024

March 8, 2024

Dear SIPTian, Are you a Master's student in ML, AI, Statistics, Engineering, or Applied Mathematics and you're interested in a new paradigm for Uncertainty Quantification? Are you an expert in Conformal Prediction and you want to explore its relationship with model-based approaches? Then consider applying to work with me on these topics <https://www.findaphd.com/phds/project/relationship-between-conformal-predic…> for your PhD! You'd be part of the UKRI AI Centre for Doctoral Training <https://ai-decisions-cdt.github.io/hugo-pages/#about> (CDT) in Decision Making for Complex Systems, a newly-established joint CDT between the University of Manchester and Cambridge University. Collaborations are possible and encouraged between students, supervisors <https://ai-decisions-cdt.github.io/hugo-pages/#people>, and members of the Manchester Centre for AI Fundamentals <https://www.idsai.manchester.ac.uk/research/centre-for-ai-fundamentals/>. You should apply through the official university's website <https://www.se.manchester.ac.uk/phds-science-engineering/?utm_source=course…> and create an account. You should then apply for the PhD Artificial Intelligence CDT program (see attached picture). When asked about "Research details", you can use the project details that you can find here <https://www.findaphd.com/phds/project/relationship-between-conformal-predic…>. You don't need to submit a new research proposal. I hope to hearing from you soon, Yours, Michele Caprio

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PhD @Idsia in Counterfactual Fairness and Causal Explainability
by Antonucci Alessandro March 6, 2024

March 6, 2024

Ph.D. Position @Idsia in the area of Counterfactual Fairness and Causal Explainability Deadline: March 28, 2024 The Dalle Molle Institute for Artificial Intelligence (IDSIA, idsia.ch) of Lugano (Switzerland) has an open position for a PhD student. This is a full-time (100%) position for a student active in the area of Counterfactual Fairness and Causal Explainability. The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models. The successful candidate holds a Master’s degree in Engineering or another STEM field (obtained or close to being obtained). Experience with Pytorch and proficiency in Python are optional but desirable skills. The starting date is May 2024 (or as can be arranged by mutual agreement). For further information, please get in touch with Alessandro Antonucci (alessandro(a)idsia.ch) and Alessandro Facchini (alessandro.facchini(a)idsia.ch) The link for the application is https://www.supsi.ch/en/bando2008. Applications should be submitted by March 28th, 2024.

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IPMU 2024 last call ! (extended deadline: March 8th)
by Christophe Marsala March 1, 2024

March 1, 2024

Dear Sir, Could you, please, forward this announcementof the next IPMU conference to your ISIPTA mailing list? I thank you in advance, Best regards, Christophe Marsala ------------------------------------------------------------- Due to several requests, and to let you enough time to prepare you submission, the deadline to submit papers is extended for the last time to *March 8th, 2024*. Don't miss the opportunity to attend IPMU in Lisboa ! Best regards, Christophe Marsala ----------------------------------------------- *20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024,* Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. *Topics and Scope of the Conference **/Theory, Methods and Tools:/* Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. /*Application Fields: */Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. /IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work./ *IPMU'24 keynote speakers * * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) *IMPORTANT DATES* - Special session proposals: December 4th, 2023 - Notification of acceptance special sessions: December 11th, 2023 - Paper submission: *March 8th, 2024*/(last extension)/ - Notification of acceptance: April 5th, 2024 - Camera-ready paper submission: April 30th, 2024 - Early/author registration: April 30th, 2024 - Conference: July 22nd-26th, 2024 /General Chair /João Paulo Carvalho (Portugal)/ Program Chairs/ Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) /Publication Chair/ Fernando Batista (Portugal) /Special Session Chair:/ Anna Wilbik (Netherlands) /Publicity Chair/ Christophe Marsala (France) /Executive Directors/ Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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Call for paper: SUM 2024 conference in Palermo (November 27-29)
by sdesterc March 1, 2024

March 1, 2024

*** please disseminate this call to whomever may be interested. We apologise in case you received multiple copies *** =================================== Conference announcement + key dates =================================== The 15th International Conference on Scalable Uncertainty Management (SUM 2022) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 17, 2024 Paper Submission: June 24, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2020 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet) ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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CFP: BELIEF 2024, Belfast, UK, Sept 4-6, 2024
by Thierry Denoeux March 1, 2024

March 1, 2024

****** Call for Papers ****** https://bfasociety.org/Belief2024/ <https://antiphishing.vadesecure.com/v4?f=SnpNUUNxek1BTWh6ZFZjaXX1rV-mm6_xB2…> The 8th International Conference on Belief Functions (BELIEF 2024) Dates: September 4th-6th, 2024 Location: Belfast, Ulster University, Northern Ireland, UK * April 15, 2024: Paper submission deadline * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/ <https://antiphishing.vadesecure.com/v4?f=SnpNUUNxek1BTWh6ZFZjaXX1rV-mm6_xB2…>) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 4th-6th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk <mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu <mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France ---------- Prof. Thierry Denoeux Université de technologie de Compiègne Institut universitaire de France Rue Roger Couttolenc, CS 60319 60203 Compiègne cedex, France https://www.hds.utc.fr/~tdenoeux

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On the necessity of causality
by Marco Zaffalon Feb. 26, 2024

Feb. 26, 2024

Dear SIPTAnts, There’s this new paper that looks really cool and fundamental: https://arxiv.org/pdf/2402.10877.pdf. Loosely speaking, it shows that causal models are somewhat of a necessary consequence of being robust to a variety of conditions. Enjoy the read, Marco

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Special session on imprecise probabilities at SMPS 2024
by Van Camp, Arthur Feb. 26, 2024

Feb. 26, 2024

Call for papers Special Session on THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES to be held at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS 2024) https://www.smps2024.com Salzburg (Austria), September 3-6, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theory and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): • (coherent) uncertainty models • non-additive set functions • choice functions • sets of desirable gambles • qualitative reasoning about uncertainty • limit laws for imprecise probabilities • philosophical foundations • elicitation and inference • robust statistics • decision making • algorithmic issues Applications include (but are not limited to): • data mining • classification and machine learning • risk and reliability analysis • finance • life sciences • system control and design Dates Extended paper submission deadline: March 17, 2024 Author notification: April 21, 2024 Conference: September 3-6, 2024 Submissions Please select the Invited Session “Theoretical and applied aspects of imprecise probabilities” when submitting your paper in the conference management tool www.conftool.net/smps2024/<http://www.conftool.net/smps2024/>. Papers submitted should be between 6 and 8 pages. Required LaTeX style etc., a link to the submission platform, and additional information can be found on the conference homepage https://www.smps2024.com. Elsevier will sponsor SMPS 2024 with a best paper award of €1000. Additionally, there will be a special issue related to the conference in the International Journal of Approximate Reasoning. Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>), Eindhoven University of Technology (The Netherlands) Enrique Miranda (mirandaenrique(a)uniovi.es<mailto:mirandaenrique@uniovi.es>), University of Oviedo (Spain)

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CFP: special session on imprecise probabilities at IPMU'2022 (deadline extended to march 1)
by IGNACIO MONTES GUTIERREZ Feb. 14, 2024

Feb. 14, 2024

Dear Siptians, Please, find attached the 2nd CFP for the special session on IP at IPMU conference. Note that the submission deadline has been extended. Best regards %%%%%%%%%%%%%%% **Apologies for multiple copies** Special Session on "THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES" to be held at the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2024) https://urldefense.com/v3/__https://ipmu2024.inesc-id.pt/__;!!D9dNQwwGXtA!R…<https://urldefense.com/v3/__https:/ipmu2024.inesc-id.pt/__;!!D9dNQwwGXtA!Rv…> Lisbon (Portugal), July 22-26, 2024 Important Dates Paper submission (extended!): March 1, 2024 Notification of Acceptance: March 29, 2024 Conference: July 22-26, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theories and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): * (coherent) uncertainty models * non-additive set-functions * qualitative reasoning about uncertainty * limit laws for imprecise probabilities * philosophical foundations * elicitation and inference * robust statistics * decision making * algorithmic issues Applications include (but are not limited to): * data mining * classification and machine learning * risk and reliability analysis * finance * life sciences * system control and design Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Enrique Miranda (mirandaenrique(a)uniovi.es<mailto:mirandaenrique@uniovi.es>), University of Oviedo (Spain) Ignacio Montes (imontes(a)uniovi.es<mailto:imontes@uniovi.es>), University of Oviedo (Spain)

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PhD Opportunity
by Michele Caprio Feb. 8, 2024

Feb. 8, 2024

Dear SIPTian, Are you a Master's student in ML, AI, Statistics, Engineering, or Applied Mathematics and you're interested in a new paradigm for Uncertainty Quantification? Are you an expert in Conformal Prediction and you want to explore its relationship with model-based approaches? Then consider applying to work with me on these topics <https://www.findaphd.com/phds/project/relationship-between-conformal-predic…> for your PhD! You'd be part of the UKRI AI Centre for Doctoral Training <https://ai-decisions-cdt.github.io/hugo-pages/#about> (CDT) in Decision Making for Complex Systems, a newly-established joint CDT between the University of Manchester and Cambridge University. Collaborations are possible and encouraged between students, supervisors <https://ai-decisions-cdt.github.io/hugo-pages/#people>, and members of the Manchester Centre for AI Fundamentals <https://www.idsai.manchester.ac.uk/research/centre-for-ai-fundamentals/>. I hope to hearing from you soon, Yours, Michele Caprio

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Special Session on ML under Weakly Structured Information at SMPS 2024
by Jansen, Christoph Feb. 8, 2024

Feb. 8, 2024

Call for papers Special Session on Machine learning and decision making under weakly structured information at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS 2024) Salzburg (Austria), September 4-6, 2024 Session topic and goal This session deals with machine learning problems that appear under weak information structures and, therefore, fail to be handled by traditional methods. The reason for the weak structure can be manifold, ranging from complex data and non-typical scales of measurement to generalized uncertainty models such as imprecise probabilities. In particular, the topics of the session include (but are not limited to): * Imprecise probabilities in ML and statistics * Preferences in ML and statistics * Decision theoretic approaches in ML and statistics * Formal concept analysis in ML and statistics * Non-standard data (e.g. ordinal data, mixed-scaled data) * (Generalized) Bayesian methods in ML and statistics * Uncertainty quantification in ML and statistics * Robustness in decision theory * Robust statistics Dates Paper submission deadline: February 29, 2024 Author notification: April 21, 2024 Conference: September 4-6, 2024 Submissions When submitting the paper, choose the session Machine learning and decision making under weakly structured information in the conference management tool. Papers should be 6-8 pages. All required information can be found on the conference homepage www.smps2024.com<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.smps20…>. Organizers Please let us know if you plan to submit a contribution to this session as soon as possible. Questions or comments can be addressed to: Thomas Augustin, Christoph Jansen, Georg Schollmeyer Ludwig-Maximilians-Universität München (Germany) {thomas.augustin,christoph.jansen,georg.schollmeyer}(a)stat.uni-muenchen.de

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SIPTA virtual seminar 14th February 3pm Paris time: "Mixing Time and Uncertainty. A Tale of Superpositions", Rafael Penaloza
by sdesterc Feb. 7, 2024

Feb. 7, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 14th of February(Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85488837637 For this new seminar, we are very happy to have Rafael Peñaloza Nyssen as our speaker. Rafael Peñaloza Nyssen is currently Associate Professor at the IKR3 Lab of the University of Milano-Bicocca. HIs main interests and contributions are in knowledge representation and logical formalisms to handle various problems. Lately, he has taken a keen interest in reasoning and uncertainty, notably by using imprecisely specified probabilistic information in temporal reasoning. On the 14th of February, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Mixing Time and Uncertainty. A Tale of Superpositions”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 14th of February, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=EI8JSL80RuE See you at the seminar! Sébastien, Enrique and Jasper

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Fwd: [insuplee_group] PRECISE Seminar (this Thursday 2/8 @noon): Michele Caprio, Ph.D.
by Michele Caprio Feb. 7, 2024

Feb. 7, 2024

Dear SIPTians, For those of you who are interested in the relationship between Machine Learning and IPs, I'll be giving a talk tomorrow at 12 noon EST. You can find the zoom link in the forwarded email below. Hope to see you there! Yours, Michele ---------- Forwarded message --------- From: Wai-Ping Ng <wng(a)seas.upenn.edu> Date: Mon, Feb 5, 2024 at 7:34 PM Subject: [insuplee_group] PRECISE Seminar (this Thursday 2/8 @noon): Michele Caprio, Ph.D. To: Wai-Ping Ng <wng(a)seas.upenn.edu> *|MC_PREVIEW_TEXT|* View this email in your browser PRECISE Center presents Michele Caprio, Ph.D. Postdoc, University of Pennsylvania Imprecise Probabilities Machine Learning Thursday, 8 February 2024 Noon - 1 pm 3330 Walnut Street Levine Hall Room 307 Philadelphia, PA 19104 For remote attendees, please use this <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> link. ABSTRACT In this talk, I will present Imprecise Probabilities (IPs), from their historic philosophical motivations to their applications to frequentist and Bayesian statistics. In turn, I will explore how the statistical approaches to IPs allowed to start the field of Imprecise Probabilistic Machine Learning, and why such a field is of paramount importance in modern ML. I will provide plenty of references, together with some new results on the comparison between Conformal Prediction and Imprecise Probabilistic Machine Learning, and how the latter can be used to derive regions that are narrower than the conformal ones, while retaining the same probabilistic guarantees. BIO Michele Caprio is a Postdoc at the PRECISE Center <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> of the University of Pennsylvania <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>, under the guidance of Prof. Insup Lee <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>. He is an incoming Lecturer (Assistant Professor) in Machine Learning at the Department of Computer Science <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> of the University of Manchester <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>. He is also part of the Manchester Centre for AI Fundamentals <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>, and an incoming Supervisor at the UKRI AI Center for Doctoral Training <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> in Decision Making for Complex Systems. His main research interests are Uncertainty Quantification in AI and ML, Probabilistic ML, and Imprecise Probabilities. In 2023, he won the IJAR Young Researcher Award <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>, a prize awarded every two years to a young scholar who demonstrates excellence in research at an early stage of the scientific career. _______________________________________________ insuplee_group mailing list insuplee_group(a)lists.seas.upenn.edu https://lists.seas.upenn.edu/mailman/listinfo/insuplee_group

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SIPTA school 2024: website online and registrations open
by Floris Persiau Feb. 7, 2024

Feb. 7, 2024

To all interested researchers, young(er) and old(er),We’re happy to announce that we’ve finalised the programme of the 11th SIPTA School, and that it can be found on the school’s recently launched website: https://school24.sipta.org/. We recall from our previous mail that the school’s aim is to introduce doctoral students – and other interested researchers – to the basics of imprecise probabilities, from its foundations in (applied) mathematics and logic to its applications in quantum physics, economy and AI. More information on the full programme, the lecturers, etc. can of course be found on the school’s website.DATE AND LOCATION The SIPTA School 2024 takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium,REGISTRATION The registration portal is open as of today. For doctoral students at a Flemish University, the registration fee is € 0 and the deadline for registration is 30 June 2024. For all other participants, the registration fee depends on the moment of registration. There is an early bird fee of € 100, which requires you to register before 15 April 2024. After this deadline, a late bird fee of € 125 will apply, and the deadline for registration is 30 June 2024 as well. All fees include admission to the lectures, lunches, coffee breaks, a pizza night and a kayak session. Moreover, we also provide you with the option to hire a private room for the duration of the summer school, which comes at a cost of € 330. If you want to make use of this option, then you must register before 15 April 2024.GRANTS We can distribute 5 grants to students who experience financial barriers to attending the summer school. In addition to waiving the registration fee, every grant provides free accommodation, and covers (part of) your transport costs up to € 250. The deadline for application is 10 April 2024; more information on how to apply for these grants can be found in the Registration section of the school’s website.We look forward to welcoming and meeting you in Ghent!Please spread the word!With kind regards,Floris Persiau and Alexander Erreygers

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CfP of TX4Nets
by Cristina Rottondi Feb. 6, 2024

Feb. 6, 2024

Dear SIPTA members, I take the liberty to disseminate the CfP of the first edition of the Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets), co-located with IFIP Networking 2024. Contributions on uncertainty quantification with applications to the field of telecommunication networks are welcome. Best regards, Cristina Rottondi *** Please accept our apologies if you receive multiple copies of this call for paper*** ------------------- 1st International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets) co-located with IFIP Networking 2024<https://networking.ifip.org/2024/index.php/> Thessaloniki, Greece, 3-6 June 2024 Link to the official workshop website: https://sites.google.com/view/tx4nets2024 ------------------- *** TX4Nets 2024 CALL FOR PAPER *** link to CFP: https://sites.google.com/view/tx4nets2024/call-for-papers Aim and Scope In light of next communication networks characterized by zero-touch network management, network operators have started the deployment of automated AI-based frameworks addressing various use cases including resource allocation, failure prediction and identification, traffic prediction. However, these deployments predominantly function as black boxes, with practitioners unable to comprehend the internal reasoning or decision processes of these automated AI-based frameworks. In this context, eXplainable Artificial Intelligence (XAI) emerges as a promising collection of frameworks and technologies designed to enhance the transparency of black-box models. XAI achieves this by providing explanations for the decisions made, enabling practitioners to eliminate bias influencing models, understand when to trust or distrust model decisions, and gain insights into the problem at hand. In addition to this, it also becomes of paramount importance to design and adopt models and methods that are inherently able to quantify their uncertainty in taking decisions based on conformal prediction. This, in turn, facilitates a reliable and Trustworthy deployment of machine learning and Artificial Intelligence models. While the application of Trustworthy and Explainable Artificial Intelligence has been extensively explored in diverse domains such as healthcare and finance, its implementation in communication networks has been relatively sparse, despite being considered of paramount importance. This workshop seeks to address this gap by shedding light on the potential applications of Trustworthy and Explainable AI in achieving transparent AI-based automation for networking. The primary objective of the workshop is to foster collaboration among AI/ML and telecom engineers, facilitating the sharing and exchange of experiences and ideas related to all aspects of trustworthy and explainable AI for network management. Topics of Interest The topics of interest for TX4Nets 2024 include, but are not limited to: * XAI for Model Trustworthiness in Networks * XAI for Trustworthy Network management * XAI-driven Network Performance Optimization * Trustworthiness in AI Models for Communication Networks * XAI for trustworthy AI in Optical, Wireless, Microwave, B5G/6G Networks * XAI for Optical, Wireless, or Microwave Networks * XAI for Autonomous Networks * XAI for Zero Touch Networks * XAI for the Edge/Cloud and Internet-of-Things * XAI for network security, privacy, resilience, reliability, and safety * XAI Applied to Networking * XAI Applied to Network Management * XAI applied to Failure Management * Security and Explainability in AI for Communication Networks * Reliability and Explainability in AI for Communication Networks * Human-in-the-Loop Systems for AI in Communication Networks * Fair Federated Learning for Communication Networks * Fair AI-based Resource Allocation in Communication Networks * Model Uncertainty Quantification and Explainability for Communication Networks * Model Uncertainty Quantification and Explainability for Network Security * Conformal Predictions Applied to Communication Networks * Impact of Adversarial Attacks on Communication Networks AI Model Trustworthiness * Case Studies and Deployments of XAI in Communication Networks * XAI for Open RAN in 6G Networks * AI for trustworthy IoT and Autonomous System Applications * Ethical Considerations in AI for Communication Networks * Interoperability and Standards in AI for Communication Networks * Regulatory Landscape for AI in Communication Networks * New Business Models for XAI * Explainable Reinforcement Learning in Communication Networks * Causal Machine Learning for Networking * Causal Reinforcement Learning for Networking * XAI for federated learning-based solutions of 5G/6G and future networks * XAI for transfer learning-based solutions of 5G/6G and future networks * XAI for digital twin-based solutions of 5G/6G and future networks Important Dates Paper Submission: March 27, 2024 Notification of Acceptance: April 27, 2024 Camera-ready Submission: May 2, 2024 Workshop Date: 3 June 2024 (tentative) Paper Submission Authors are invited to submit original contributions that have not been published nor has been submitted for publication elsewhere. Papers should be prepared using the IEEE double-column conference style (10pt font) and are limited to 6 pages including references. Papers must be submitted electronically in PDF format on EDAS through this link: https://www.edas.info/newPaper.php?c=31469&track=123080 All papers will be peer reviewed and the comments will be provided to the authors. Once accepted, the paper will be included in the conference proceedings and will be eligible for submission to the IEEE Xplore Digital Library. At least one author of each accepted paper is required to register and present the work in the workshop. Further information can be found on the official website of TX4Nets 2024: https://sites.google.com/view/tx4nets2024 Workshop Organizers Cristina Rottondi, Politecnico di Torino, Italy Marco Savi, University of Milano-Bicocca, Italy Omran Ayoub, University of Applied Sciences of Southern Switzerland, Switzerland Tania Panayiotou, University of Cyprus, Cyprus Sebastian Troia, Politecnico di Milano, Italy

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Special session on imprecise probabilities at SMPS 2024
by Van Camp, Arthur Feb. 2, 2024

Feb. 2, 2024

Call for papers Special Session on THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES to be held at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS 2024) http://www.smps2024.com<%22> Salzburg (Austria), September 4-6, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theory and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): • (coherent) uncertainty models • non-additive set functions • choice functions • sets of desirable gambles • qualitative reasoning about uncertainty • limit laws for imprecise probabilities • philosophical foundations • elicitation and inference • robust statistics • decision making • algorithmic issues Applications include (but are not limited to): • data mining • classification and machine learning • risk and reliability analysis • finance • life sciences • system control and design Dates Paper submission deadline: February 29, 2024 Author notification: April 21, 2024 Conference: September 4-6, 2024 Submissions Please select the Invited Session “Theoretical and applied aspects of imprecise probabilities” when submitting your paper in the conference management tool www.conftool.net/smps2024/<http://www.conftool.net/smps2024/>. Papers submitted should be between 6 and 8 pages. Required LaTeX style etc., a link to the submission platform, and additional information can be found on the conference homepage www.smps2024.com<http://www.smps2024.com>. Elsevier will sponsor SMPS 2024 with a best paper award of €1000. Additionally, there will be a special issue related to the conference in the International Journal of Approximate Reasoning. Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>), Eindhoven University of Technology (The Netherlands) Enrique Miranda (mirandaenrique(a)uniovi.es<mailto:mirandaenrique@uniovi.es>), University of Oviedo (Spain)

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