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talks
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Invited lectures in Schools, Conferences, Workshops, ...
2012
- SUM, 2012, invited tutorial: “Some of the things you wanted to know about uncertainty (and were too busy to ask)” slides
2013
- ECSQARU, 2013, invited tutorial: “Uncertainty theories: an introduction” slides
2014
- Workshop on reconciliation in MFA, Paris: “Information fusion” slides
- SIPTA Summer School: “Imprecise probability theory” slides
2015
- Workshop on Imprecise Probabilities, Toulouse: “Cost-sensitive classification: recent advances”
- BFAS 2015 school: “On combinations and conflict”
2016
- INRA researcher school on Data and knowledge integration: “An introduction to information fusion issues”
2017
- BFAS 2017 School: “Belief functions and uncertainty theories”
- Frédéric Joliot & Otto Hahn summer school 2017 : “Epistemic uncertainty propagation in risk/reliability analysis”
- Research School of CEA-EDF-ENS Cachan on Uncertainty in Scientific Computing : “Imprecise probabilistic tools to propagate uncertainty”
2018
- Course for doctorial day of JFMS: “Decision making under uncertainty”
- SIPTA Summer School: “Belief functions”
- SFLA Summer School 2018: “Possibility theory” (basics + statistical learning)
- EPSRC & ESRC spring school (Liverpool risk institute): “Imprecise probability 101”
2019
- BFAS 2019 School: “Belief functions and boolean inference: basics, computational challenges and applications”
2020
- UQOP 2020 Conference: “Imprecise inferences over Boolean functions made easy”
2022
- COPA 2022 Conference: “Learning from uncertain data: challenges and opportunities”
- 2022 French AI working group days: “Uncertainty in learning:problem or solution?”
- Labex DigiCosme days: “Uncertainty in learning, challenges and opportunities”
2023
- French AI Autumn School: “Modelling and managing uncertain information”
- French conference on fuzzy logic and uncertainty: “Imprecision and learning, an overview”
2024
- French conference on operations research: “Uncertainty and imprecision in AI, ML and optimisation”
- WUML: “Learning from imprecise and uncertain data: some recent trends and open questions”
- ICRTAM2024: “Learning from imprecise and uncertain data: some recent trends and open questions”
2025
- IUKM 2025: “Information Fusion as a Tool to Estimate Parameters from Imprecise Data”
- BFAS 2025 school: “Decision with belief functions”
2026
- DA2PL 2026: “Uncertainty in preference modelling: A tale of two views ”
Public outreach actions
2020
- Participation to book “l'IA, de quoi s'agit-il vraiment” (Cepadues - 2020) and “AI, What is it, exactly” (College Publications - 2021)
2023
- Ecole été PIXEL (High-school students): “Introduction to stable-marriage problem”
- Semaine NSI (High-school students): “Can we (blindly) trust (generative) AI?”
2024
- Lens seminar on measure (wide academic audience): “From uncertainty of measure, to measure of uncertainty”
- Participation to book “l'IA, de quoi s'agit-il vraiment” (Cepadues - 2024) and “AI, What is it, exactly”, 2nd edition
- Université dans la ville (wide public audience): “L'intelligence artificielle dans tous ses états”
2025
- Médiathèque La Croix St-Ouen: “Comment les robots apprennents: un atelier sans robots” (10/12 years old kids) + “L'intelligence artificielle dans tous ses états” (wide public audience)
- Ecole de Royallieu (CM1/CM2): “Comment les robots apprennents: un atelier sans robots” (Primary school)
- Ecole Charles Faroux (CM1/CM2): “Comment les robots apprennents: un atelier sans robots” (Primary school)
- Ecole Pompidou (CM1/CM2): “Comment les robots apprennents: un atelier sans robots” (Primary school)
- Médiathèque Margny-Les-Compiègne (wide public audience): “L'intelligence artificielle dans tous ses états”
- Ecole été PIXEL (High-school students): “Introduction to stable-marriage problem”
- Lycée Jean-Paul 2 (High-school students): “L'intelligence artificielle dans tous ses états” (Twice)
- Fête de la science UTC: “L'intelligence artificielle dans tous ses états”
External invited seminars
2012
- LIP6: Laboratoire d'informatique de Paris 6
2014
- Dagstuhl: preference learning seminar
- Durham: imprecise and asset management days
- LAGIS: Laboratoire d’Automatique, Génie Informatique et Signal (Lille)
- LISTIC: Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (Annecy)
- Université d'Oviedo
2015
- LIA: Laboratoire d'informatique d'Avignon
- MDOD: Mathématiques Discrètes, Optimisation et Décision (Paris 1)
2016
- LRI: Laboratoire de Recherche en Informatique (Orsay)
- Université Carlos III, Madrid
2017
- Paderborn university, department of Computer science
- LGI2A: Laboratoire de Génie Informatique et d’Automatique de l’Artois (Bethune)
2018
- LAMSADE: Laboratoire d'Analyse et Modélisation de Systèmes pour l'Aide à la Décision
2019
- CRIL: Centre de Recherche en Informatique de Lens
- LGI2P: laboratoire de Génie Informatique et d'Ingénierie de Production - Ecole des mines d'Ales
2020
- IATE: Ingénierie des Agropolymères et Technologies Emergentes
- LORIA: Laboratoire lorrain de Recherche en Informatique et ses Applications
2021
- LORIA: Laboratoire lorrain de Recherche en Informatique et ses Applications: Imprecision in machine learningSlides.
2022
- Cristal - SIGMA team: Centre de Recherche en Informatique, Signal et Automatique de Lille (Signal, Models and Applications )
- IRT System X seminars: learning with uncertain data, challenges and opportunities
2023
- IRT Railenium: AI and integrity: next challenges
2024
- LIRIS, Lyon: Apprendre dans un monde imparfait, avec un focus sur les données incertaines.
2025
- Centrale Supelec, “Resilient AI for future industry day”: “Imprecision and machine learning: what now?”
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