Programme

Mercredi 15 octobre 2025

9h - 9h30	Accueil et mot d’introduction
9h30 - 10h30	Francis Bach - Denoising diffusion models without diffusions
10h30 - 11h	Gergely Neu - Distances for Markov chains from sample streams
11h - 11h30	Pause café - posters
11h30 - 12h30	Gérard Biau - Learning with physical constraints
12h30 - 13h	Nicolas Mansard - Moving from predictive control to reinforcement learning did not change my life (but make it better)
13h - 14h	Pause déjeuner
14h -15h	Claudio de Persis - Data and control
15h - 15h30	Takumi Iwata - Localized data-driven design of positive stabilizing feedback controllers for a network system
15h30 - 16h	Pause café - posters
16h - 17h	Michel Fliess - Some thoughts on modeling in automatic control and its possible relationship with today's AI
17h - 18h	Pauline Kergus - An overview of data-driven model reference control techniques
18h - 18h30	Matteo Tacchi-Bénard - Learning stability regions from data using convex optimization

9h-9h30	Accueil
9h30 - 10h30	Cristian Rojas - Where identification meets learning: Data-driven approaches to estimating properties of dynamical systems
10h30 - 11h	Elodie Chanthery - Towards hybrid fault diagnosis: machine learning enhanced with meta knowledge
11h - 11h30	Pause café - posters
11h30 - 12h	Khanh Nguyen - Artificial Intelligence Enabled Prognostics and Health Management System
12h - 12h30	Mathieu Serrurier - Self-supervised learning with robustness guarantees
12h30 - 14h	Pause déjeuner – posters
14h - 15h	Vincent T’kindt - A story about machine learning and operations research
15h - 15h30	Axel Parmentier - Combinatorial optimization augmented machine learning: Algorithms and applications in scheduling
15h30 - 16h	Pause café - posters
16h - 16h30	Lyes Benyoucef - Sustainable multi-objective process plan generation in reconfigurable manufacturing environment: Evolutionary-based approaches