Évènements / Séminaires

Évènements à venir

Séminaire de Cristiano Maria Verrelli et présentation du TC 9.2 d’IFAC TC 9.2 par Mariana Netto

14h00–15h00 — Salle du conseil (L2S) Learning Control: Latest Results and Applications Cristiano Maria Verrelli (Department of Electronic Engineering, Univ. Rome “Tor Vergata”) Abstract. This seminar aims at highlighting new connections — in terms of stability analysis and convergence proof — underlying the design of the Repetitive Learning Control with respect to well established techniques […]

19/06/2023

UQSay #61

The sixty-first UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, June 8, 2023. 2–3 PM — Sophie Ricci (CECI, CERFACS & UMR 5318) — [slides] On the merits of using remote sensing Earth Observation data to reduce uncertainties in flood forecasting with ensemble-based data assimilation Flood simulation and […]

08/06/2023

Graph signal processing for the study of multivariate physiological signals

Speaker — Laurent Oudre (Centre Borelli, ENS Paris Saclay) Abstract — In many biomedical studies, data take the form of multivariate time series, whose dimensions are highly correlated. In order to take this structure into account in data processing, graphs appear as a valid solution, defining a new analysis domain that can be considered as […]

26/05/2023

UQSay #60

The sixtieth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, May 25, 2023. 2–3 PM — Stefano Fortunati (LSS & IPSA) — [slides] Matched, mismatched and semiparametric inference in elliptical distributions Any scientific experiment, which aims to gain some knowledge about a real-word phenomenon, starts with the data […]

25/05/2023

UQSay #59

The fifty-nineth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, May 11, 2023. 2–3 PM — Felix Schneider (Technical University of Münich) — [slides] Sparse Bayesian Learning for Rational Polynomial Chaos Expansion and Application in Structural Dynamics Surrogate models enable efficient propagation of uncertainties in computationally demanding models […]

11/05/2023