Évènements / Séminaires

Évènements à venir

Fast fault identification in meshed HVDC grids: a fault parameter estimation approach (Paul Verrax)

Paul Verrax, PhD student at L2S and SuperGrid Institute. Tuesday 8th December at 11:00 via Microsoft Teams at Join Microsoft Teams MeetingLearn more about Teams Abstract: The emergence of meshed HVDC grids is seen as a promising option to interconnect large amount of renewable energies over long distances.  The protection of such grids requires the fast […]

08/12/2020

UQSay #19

The nineteenth UQSay seminar on UQ, DACE and related topics, organized by L2S, MSSMAT, LMT and EDF R&D, will take place online on Thursday afternoon, December 3, 2020. 14h–15h — Álvaro Rollón de Pinedo (EDF R&D and Université Grenoble Alpes) Functional outlier detection applied to nuclear transient simulation analysis The ever increasing recording and storing […]

03/12/2020

Riemannian geometry for data analysis: illustration on blind source separation and low-rank structured covariance matrices

Speaker — Florent Bouchard (L2S — CNRS, Université Paris-Saclay, CentraleSupélec) https://s3-seminar.github.io/seminars/florent-bouchard/ Abstract — In this presentation, Riemannian geometry for data analysis is introduced. In particular, it is applied on two specific statistical signal processing problems: blind source separation and low-rank structured covariance matrices. Blind source separation can be solved by jointly diagonalizing some covariance matrices. […]

27/11/2020

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