The sixteenth UQSay seminar on Uncertainty Quantification and related topics, organized by L2S, MSSMAT, LMT and EDF R&D, will take place online on Thursday afternoon, October 22, 2020. 14h–15h — Nicolas Bousquet (EDF R&D) Well-posed stochastic inversion in uncertainty quantification, with links with sensitivity analysis Stochastic inversion problems are typically encountered when it is wanted […]
Speaker — Philippe Ciuciu (CEA/NeuroSpin & Inria Saclay Île-de-France Parietal) Abstract — Reducing acquisition time is a major challenge in high-resolution MRI that has been successfully addressed by Compressed Sensing (CS) theory. While the scan time has been massively accelerated, the complexity of image recovery algorithms has strongly increased, resulting in slower reconstruction processes. In […]
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 […]
