November 21, 2025 — 14:00 Abstract This work proposes a Bayesian rule based on the mixture of a point mass function at zero and the logistic distribution to perform wavelet shrinkage in nonparametric regression models with stationary errors (with short or longmemory behavior). The proposal is assessed through Monte Carlo experiments and illustrated with real […]
The ninetieth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, November 20, 2025. 2–3 PM — Fanny Lehmann (ETH AI Center, ETH Zurich) Foundation Models of the Earth System: Seeing Beyond Weather Deep learning has revolutionized weather forecasting over the past three years, with AI models surpassing the […]
November 07, 2025 — 11:00 — Online Abstract The empirical wavelet transform (EWT) is a data-driven time-scale representation based on adaptive filters. Its robustness and flexibility have led to significant developments and a growing number of applications over the past decade. However, most studies have focused on theoretical aspects for one-dimensional signals, and extensions to […]
Construire la durabilité de la sixième génération des réseaux mobiles (6G) 📅 6 novembre de 13h à 14h – Amphi I – bât Eiffel Nous aurons le plaisir d’accueillir Salah-Eddine EL AYOUBI, Professeur au Laboratoire des Signaux et Systèmes, responsable de l’équipe ILOCOS (Information, Learning, Optimization and Communication Sciences) et titulaire de la Chaire 6G […]
The eighty-ninth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, October 30, 2025. 2–3 PM — Edgar Jaber (EDF R&D, Centre Borelli, LISN) — [slides] A Bayesian methodology for hybrid degradation prognostics Degradation prognostics of industrial assets involves estimating their remaining useful life (RUL) by projecting current health […]
