Évènements / Séminaires

Évènements à venir

UQSay #18

The eighteenth UQSay seminar on UQ, DACE and related topics, organized by L2S, MSSMAT, LMT and EDF R&D, will take place online on Thursday afternoon, November 19, 2020. 14h–15h — Eyke Hüllermeier (Paderborn University, Germany) — [slides] Aleatoric and Epistemic Uncertainty in Machine Learning: An Ensemble-based Approach Due to the steadily increasing relevance of machine […]

19/11/2020

Séminaire de Riccardo Bonalli

17/11/2020 – 16h00-17h00 – En ligne Towards Principled Algorithms for Stochastic Optimal Control of Nonlinear Dynamical Systems Riccardo Bonalli (Autonomous System Labs, Stanford University, US) Abstract. Nowadays, achieving efficient computations of optimal trajectories for dynamical systems represents a hard problem. In particular, the presence of nonlinearities and uncertainties affecting the outcome makes this task very […]

17/11/2020

Contactless detection of cardiopulmonary activity for a person in different scenarios

Speaker — Sarah Samad (IETR-INSA Rennes, Rennes, France) Abstract — Nowadays, contact-less monitoring patient’s heartbeat using Doppler radar has attracted considerable interest of researchers, especially when the traditional electrocardiogram (ECG) measurements with fixed electrodes is not practical in some cases like infants at risk or sudden infant syndrome or burn victims. Due to the microwave […]

06/11/2020

UQSay #17

The seventeenth UQSay seminar on UQ, DACE and related topics, organized by L2S, MSSMAT, LMT and EDF R&D, will take place online on Thursday afternoon, November 5, 2020. 14h–15h — Luc Bonnet (ONERA & MSSMAT) — [slides] The expected performance of a system can generally differ from its operational performance due to the variability of […]

05/11/2020

Séminaire de Thibault Liard

03/11/2020 – 14h00-15h00 – Modalité Hybride Boundary sliding mode control of system of transport equations Thibault Liard (LS2N, Nantes, France) Abstract. We study the asymptotic behavior of a system of transport equations subject to unknown boundary disturbances. Our aim is to construct a boundary feedback law, based on a sliding mode procedure, which rejects the […]

03/11/2020