Évènements / Séminaires

Évènements à venir

UQSay #80

The eightieth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, December 12, 2024. 2–3 PM — Claire Boyer (LMO, UPS) — [slides] A primer on physics-informed learning Physics-informed machine learning combines the expressiveness of data-based approaches with the interpretability of physical models. In this context, we consider a […]

12/12/2024

UQSay #79

The seventy-ninth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, November 28, 2024. 2–3 PM — Sam Allen (ETH Zürich, Seminar of Statistics) — [slides] Evaluating forecasts using positive definite kernels Probabilistic forecasts take the form of probability distributions over the set of possible outcomes. To assess the […]

28/11/2024

UQSay #78

The seventy-eighth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, November 14, 2024. 2–3 PM — Botond Szabo (Bocconi University, Department of Decision Sciences – BIDSA) — [slides] Uncertainty quantification and estimation with variational Gaussian Processes We study the theoretical properties of a variational Bayes method in the […]

14/11/2024

The Smart Energy System Simulation and Control Center of the Energy Lab@KIT: an open research platform for automation and control

Thursday 14th November 2024 at 2:30pm, in Salle Hooper, 3rd floor at IBM building, 14 Rue Jean Rostand, 91400 Orsay Speakers: Veit Hagenmeyer, Professor of Energy Informatics with the Faculty of Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany Title: The Smart Energy System Simulation and Control Center of the Energy Lab@KIT: an open research platform for automation […]

14/11/2024

UQSay #77

The seventy-seventh UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, October 31, 2024. 2–3 PM — Nadège Polette (Mines Paris PSL – CEA DAM DIF) — [slides] Mitigating Overconfidence in Bayesian Field Inversion thanks to Hyperparameters Sampling The objective of Bayesian field inversion is to approximate the posterior […]

31/10/2024