The thirty-ninth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, December 16, 2021. 2–3 PM — Gianni Franchi (U2IS, ENSTA Paris) — [slides] Encoding the latent posterior of Bayesian neural networks for Uncertainty Quantification Bayesian neural networks (BNNs) have been long considered an ideal, yet unscalable solution for […]
Enseignant-Chercheur à CentraleSupélec, L2S, soutiendra son mémoire en vue de l’obtention de l’Habilitation à Diriger des Recherches de l’Université Paris-Saclay « Semidefinite Programming Methods for the Stability Analysis of Nonlinear Systems » Le jeudi 9 décembre 2021 à 14h30 Lieu : Amphi III, Bâtiment Eiffel à CentraleSupélec Pour la participation à distance : https://cnrs.zoom.us/j/98146270393?pwd=eExKOW5zeFdOaW9Cc0dpZHB2T3lzUT09 Membres du jury […]
14h00-15h00 – Online Infinite-dimensional Luenberger observers: application to a crystallization process Lucas Brivadis (LAGEPP, Université Lyon 1) Abstract. During a crystallization process, the Particle Size Distribution (PSD) is a relevant information that needs to be estimated through other measurements, such as the Chord Length Distribution (CLD). The PSD-to-CLD mapping depends on particle geometry. We propose […]
DOCTOR: A Simple Method for Detecting Misclassification Errors was awarded a Spotlight Presentation at NeurIPS 2021, being one of the top papers presented to the world-leading AI conference. This year saw a record-breaking number of submissions, with a total of 9122 full paper submissions. From these, only 26% were accepted for presentation at the conference. Less than 3% were accepted as spotlights. The […]
The thirty-eighth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, December 2, 2021. 2–3 PM — Luc Pronzato (CNRS, Univ. Côte d’Azur) — [slides] Maximum Mean Discrepancy, Bayesian integration and kernel herding for space-filling design A standard objective in computer experiments is to predict/interpolate the behaviour of an […]
