The Bosch AG (Stuttgart), the Center for Industrial Mathematics (ZeTeM, University of Bremen) and the Committee for Mathematical Modeling, Simulation, and Optimization (KOMSO) are happy to announce the third edition of the KOMSO Academy dedicated to ‘TorchPhysics: Deep Learning for partial differential equations’.
The KOMSO Academy aims at offering mathematicians a platform for exchange on novel mathematical concepts relevant for industrial applications.
Deep Learning concepts for PDEs are booming and everybody working in this area is confronted with the challenge to decide on suitable architectures and concepts for tackling the respective problems. Hence, our present workshop aims at providing an overview of recent developments in deep learning concepts. This year our focus is on MOR concepts (model order reduction). In addition, we will dedicate substantial hours for training sessions with hands-on examples.
The workshop is based on collaboration with Bosch and our joint TorchPhysics-project, see github.com/boschresearch/torchphysics and will be complemented by invited talks of distinguished experts from academia and industry in the field.
Post expires at 1:00pm on Saturday November 22nd, 2025