Events

Upcomming events

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

Séminaire de Guilherme Mazanti

08/12/2020 – 14h00-15h00 – Online The multiplicity-induced-dominancy property for scalar differential equations with time-delays Guilherme Mazanti (INRIA équipe DISCO, L2S, CentraleSupélec) Abstract. Even in simple situations with time-delays such as that of linear equations with constant coefficients and constant delays, the spectral analysis of time-delay systems can be a challenging question. Indeed, contrarily to the […]

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