Programme
| Heures |
événement |
(+)
|
|
09:00 - 09:30
|
Accueil A0.04 |
|
|
09:30 - 10:20
|
Apprentissage par renforcement (Amphi A0.04 ) |
(+)
|
|
09:30 - 10:20 |
› Moving from optimal control to continuous-time reinforcement learning using PINNs - Alena Shilova, Centre Inria de Saclay |
|
|
10:20 - 10:50
|
Pause café (Sortie A0.04) |
|
|
10:50 - 11:40
|
Optimisation (Amphi A0.04 ) |
(+)
|
|
10:50 - 11:40 |
› Bridging Physics and Learning: An Optimization Framework for Hybrid Differentiable Models - Jordan Patracone, Université Jean Monnet - Saint-Étienne |
|
|
11:40 - 12:30
|
Méthodes numériques (Amphi A0.04 ) |
|
|
12:30 - 14:00
|
Déjeuner (Canopée) |
|
|
14:00 - 14:50
|
Modèles génératifs (Amphi A0.04 ) |
(+)
|
|
14:00 - 14:50 |
› Propagating Uncertainty in Stochastic Differential Equations with Neural Solvers of the Fokker Planck Equation - Lucas Drumetz, IMT Atlantique |
|
|
14:50 - 15:40
|
Contrôle optimal (Amphi A0.04 ) |
(+)
|
|
14:50 - 15:40 |
› An optimal control problem on a data-driven reduced model in epidemiology - Clémentine Courtès, Institut de Recherche Mathématique Avancée |
|
|
15:40 - 16:10
|
Pause café (Sortie A0.04) |
|
|
16:10 - 17:00
|
Problèmes inverses (Amphi A0.04 ) |
(+)
|
|
16:10 - 17:00 |
› An optimal control problem on a data-driven reduced model in epidemiology - Arnaud Vadeboncoeur, Cambridge University |
|
|
17:00 - 18:30
|
Poster Session (Sortie A0.04) - Poster Session |
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