Évènements

Évènements à venir

UQSay #03

The third UQSay seminar, organized by L2S and EDF R&D, will take place on Thursday afternoon, June 13, 2019, at CentraleSupelec Paris-Saclay (Eiffel building, amphi V). We will have two talks: 14h — Alexandre Janon (Laboratoire de Mathématique d’Orsay) — [slides] Part 1: Consistency of Sobol indices with respect to stochastic ordering of input parameters […]

13/06/2019

Distributed Active and Passive MIMO Radar

Speaker — Braham Himed (Air Force Research Laboratory, Sensors Directorate, RF Technology Branch, Dayton, Ohio) Abstract — Passive radar has received considerable interest in the past few years. It is defined as a radar system that can detect and track targets of interest by exploiting readily available, non‐cooperative illuminators of opportunity. This is of great […]

12/06/2019

UQSay #01

The first UQSay seminar, organized by L2S, will take place in the afternoon of March 21, 2019, at CentraleSupelec Paris-Saclay (Eiffel building, amphi IV).  We will have two talks: 14h – Mickaël Binois (INRIA Sophia-Antipolis)  [slides] Heteroskedastic Gaussian processes for simulation experiments An increasing number of time-consuming simulators exhibit a complex noise structure that depends […]

21/03/2019

Bilevel optimisation approaches for learning the optimal noise model in mixed and non-standard image denoising applications

Speaker — Luca Calatroni (CMAP, École Polytechnique) Abstract — The regularised formulation of a general ill-posed inverse problem in imaging typically combines an edge-preserving regularisation term (like the Total Variation semi-norm) and a data fitting function encoding noise statistics balanced against each other by a positive – possibly space-variant – weight. The optimal choice of […]

04/12/2018

A dual certificates analysis of compressive off-the-grid recovery

Speaker — Nicolas Keriven (Ecole Normale Supérieure) Abstract — Many problems in machine learning and imaging can be framed as an infinite dimensional Lasso problem to estimate a sparse measure. This includes for instance regression using a continuously parameterized dictionary, mixture model estimation and super-resolution of images. To make the problem tractable, one typically sketches […]

05/10/2018