Upcomming events

UQSay #34

The thirty-fourth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, October 7, 2021. 2–3 PM — Elmar Plischke (T.U. Clausthal) — [slides] Optimal-transport-based sensitivity measures and their computation The theory of optimal transport and the use of Wasserstein distances are attracting increasing attention in statistics and machine learning. […]


Séminaire de Paolo Piccione

11h00-12h00 – Salle du conseil (L2S) Minimal 2-spheres in ellipsoids via global bifurcation theory Paolo Piccione (Universidade de São Paulo, Brazil) Abstract. I will give an overview of classical results in variational Bifurcation Theory, present some applications to geometric variational problems, and discuss a concrete problem concerning the multiplicity of minimal 2-spheres inside sufficiently elongated […]


“IFAC Student Best Paper Award” Jeanne Redaud

Félicitations à Jeanne Redaud, doctorante au sein du Pôle Automatique et Systèmes qui a obtenu le IFAC Student Best Paper Award lors du colloque 16th IFAC Workshop on Time-Delay Systems, organisé en Chine, à Guangzhou du 29 septembre au 1er octobre 2021.


Soutenance de thèse de Yingying Qin

Avis de soutenance Yingying QIN Systèmes et Applications des Technologies de l’Information et de l’Energie (SATIE) & Laboratoire des Signaux et Systèmes (L2S) soutient sa thèse de doctorat de l’Université Paris-Saclay, École doctorale Sciences et technologies de l’information et de la communication Early breast abnormalies detection with microwave and ultrasound modalities (Détection précoce d’anomalies du […]

Robust low-rank covariance matrix estimation with missing values and application to classification problems

Speaker — Alexandre Hippert-Ferrer (L2S, CentraleSupelec, Univ. Paris-Saclay) Abstract — Missing values are inherent to real-world data sets. Statistical learning problems often require the estimation of parameters as the mean or the covariance matrix (CM). If the data is incomplete, new estimation methodologies need to be designed depending on the data distribution and the missingness […]