Seminar: Mathias Oster
It is a pleasure to invite you all to a MatMod / QHub / REGAL seminar by Mathias Oster from the Department of Mathematics at RWTH Aachen University.
Score based learning in scientific computing
Abstract: Generative modeling and, in particular, score based learning are popular methods of generation of new samples based on given samples such that the distribution is approximatively the same. I will present the basic ideas of score-based learning and its particularities when applied in scientific computing.
Time and Location
Tuesday May 20th, 13:00 – 14:00
Ellen Gleditschs hus (P35), room PI649