Hosted by Olga Mula Hernández Speaker Marie Billaud-Friess, Centrale Nantes Title Probabilistic reduced basis method. Application for solving parameter-dependent PDEs Abstract In this talk, we propose a probabilistic Reduced Basis Method (RBM) for the approximation of a family of parameter-dependent functions. Such a method relies on a probabilistic greedy algorithm with an error indicator that […]

Hosted by Remco Duits Speaker Ivan Sosnovik, Amazon Generative AI Innovation Center Title Scale Symmetry in Computer Vision and Beyond   Abstract While training a model for image analysis, object transformations are usually seen as disturbing factors; we need to provide a larger training dataset if we expect more variations. Translation, rotation, and scaling are […]

Hosted by Jos Maubach Speaker Mats Larson, Umeå University Title Finite Element Approximation of Constrained and Inverse Problems Abstract We review recent advances in applying the augmented Lagrange multiplier method as a general approach for generating multiplier-free stabilized methods. The augmented Lagrangian method consists of a standard Lagrange multiplier method augmented by a penalty term, […]