Évènements / Séminaires

Évènements à venir

Décrypter le langage sonore des animaux : De la technologie du signal vers l’éthologie animale et l’éthologie homme animal

Speaker — Fabienne DELFOUR et Pascal BETREMIEUX (LEEC, Université Sorbonne Paris Nord et Dolhom) Abstract — Depuis plusieurs décennies, l’homme a entretenu des relations spéciales avec le monde des cétacés, et certaines espèces en particulier (grand dauphin, cachalot, orques) chez lesquelles il a pu reconnaitre un niveau plus sophistiqué de communication sonore, associé à des […]


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 […]


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 […]


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 […]


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 […]