The fifteenth UQSay seminar on Uncertainty Quantification and related topics, organized by L2S, MSSMAT, and EDF R&D, will take place online on Thursday afternoon, October 8, 2020. 14h–15h — Sebastian Schöps (TU Darmstadt) Uncertainty Quantification for Maxwell’s eigenproblem based on isogeometric analysis and mode tracking Superconducting cavities are used in particle accelerators, e.g. at DESY […]
Speaker — Stefano Fortunati, (IPSA, Paris, France) The seminar will be online here (web based, no account needed) Abstract — Covariance matrices play a major role in statistics, signal processing and machine learning applications. This seminar focuses on the semiparametric covariance/scatter matrix estimation problem in elliptical distributions. The class of elliptical distributions can be seen […]
Orateur — Frédéric Schmidt (Géosciences Paris-Saclay, Université Paris-Saclay) Résumé — Les dé-mélange linéaire spectral supervisé et non-supervisé ont fait l’objet de nombreuses études en mathématique appliquée. Parmi les récentes avancées, la prise en compte de la positivité et de la parcimonie a suscité un engouement important dans ce domaine. La présentation détaillera plusieurs types d’applications […]
The fourteenth UQSay seminar on Uncertainty Quantification and related topics, organized by L2S, MSSMAT, and EDF R&D, will take place online on Thursday afternoon, September 24, 2020. 14h–15h — Amélie Fau (LMT, ENS Paris-Saclay) Alternative strategies for adaptive sampling for kriging metamodels A large variety of strategies have been proposed in the literature to offer […]
The thirteenth UQSay seminar on Uncertainty Quantification and related topics, organized by L2S, MSSMAT, and EDF R&D, will take place online on Thursday afternoon, September 10, 2020. 14h–15h — Balázs Kégl (Noah’s Ark Lab, Huawei Paris) — [slides] DARMDN: Deep autoregressive mixture density nets for dynamical system modelling Unlike computers, physical engineering systems (such as […]
