Évènements / Séminaires

Évènements à venir

UQSay #33

The thirty-third UQSay seminar on UQ, DACE and related topics, organized by L2S, MSSMAT, LMT and EDF R&D, will take place online on Thursday afternoon, July 1, 2021. 2–3 PM — Iason Papaioannou (T.U. Munich) — [slides] Reliability sensitivity analysis with FORM This talk discusses reliability sensitivity analysis with the first-order reliability method (FORM). Classical […]

01/07/2021

UQSay #32

The thirty-second UQSay seminar on UQ, DACE and related topics, organized by L2S, MSSMAT, LMT and EDF R&D, will take place online on Thursday afternoon, June 17, 2021. 2–3 PM — Andreas Fichtner (ETH Zürich) — [slides] Probabilistic Full-Waveform Inversion In the course of the past decade, full-waveform inversion has matured from a largely idealistic […]

17/06/2021

Workshop of the RTE Chair

Wednesday 16th June  The workshop of the RTE Chair (https://rtechair.fr/) at CentraleSupélec intends to be a forum of presentations and discussions on the topics related to the “The Digital Transformation of Electricity Networks”. The program is available at https://csrte21.sciencesconf.org/ The program outlines the main research topics of the Chair. This edition will host several talks […]

16/06/2021

UQSay #31

The thirty-first UQSay seminar on UQ, DACE and related topics, organized by L2S, MSSMAT, LMT and EDF R&D, will take place online on Thursday afternoon, June 3, 2021. 2–3 PM — Adrien Touboul (IRT SystemX & CERMICS) — [slides] Uncertainty Quantification in graphs of functions through sample reweighting The needs for multidisciplinary simulations in the […]

03/06/2021

Online estimation of elliptical distributions and their mixture: the component-wise information gradient method

Speaker — Jialun Zhou (IMS, Groupe Signal Image — CNRS, Université de Bordeaux) https://s3-seminar.github.io/seminars/jialun-zhou/ Abstract — Elliptically-Contoured Distributions (ECD) and its Mixture model (MECD) are highly versatile at modeling general, real-world probability distributions. They have therefore played a valuable role in computer vision, image processing, radar signal processing, and biomedical signal processing. Maximum likelihood estimation […]

21/05/2021