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
Journal Matin - Dargaud (Large audience): participation to a science popularization webcomic: click here and here if you want to have a look.
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?”