Évènements / Séminaires

Évènements à venir

Séminaire de Edouard Pauwels

16/02/2021 – 14h00-15h00 – Online A mathematical model for nonsmooth algorithmic differentiation with applications to machine learning. Edouard Pauwels (Université Paul Sabatier, Toulouse) Abstract. We are interested in nonsmooth analysis of algorithmic differentiation, a central building block of the learning phase implemented in modern deep learning software librairies, such as Tensorflow or Pytorch. First, I […]

16/02/2021

UQSay #23

The twenty-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, February 4, 2021. 2–3 PM — Clémentine Prieur (LJK, Univ. Grenoble Alpes) Global sensitivity analysis for models described by stochastic differential equations Many mathematical models involve input parameters, which are […]

04/02/2021

On Power Systems Stability Definitions and Analysis: the DC Microgrid example

Tuesday 26th January, 14:00 – 15:00 – Alessio Iovine, CNRS researcher at L2S  Title: On Power Systems Stability Definitions and Analysis: the DC Microgrid example Click here to join the meeting Abstract: The problem of defining and classifying power system stability has been addressed several times in the scientific literature. However, only recently the exchanges between the Control and Power […]

26/01/2021

UQSay #22

The twenty-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, January 21, 2021. 14h–15h — Cédric Travelletti (University of Bern) Implicit Update for Large-Scale Inversion under GP prior We present an almost matrix-free update method for posterior Gaussian process distributions […]

21/01/2021

Séminaire de Andrea Simonetto

19/01/2021 – 14h00-15h00 – Online Personalized optimization for cyber-physical and social systems Andrea Simonetto (IBM Research Ireland) Abstract. Optimization is the cornerstone of many engineering systems and cyber-physical systems including smart homes, energy grids, and intelligent transportation systems. In many situations however, state-of-the-art optimization algorithms may fail to provide acceptable (and feasible) solutions e.g. because […]

19/01/2021