The Center for Industrial Mathematics (ZeTeM) and the Committee for Mathematical Modeling, Simulation, and Optimization (KoMSO) are happy to host a KoMSO Academy dedicated to ‘TorchPhysics: Deep Learning for partial differential equations’
The KoMSO Academy aims at offering mathematicians a platform for an 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 a suitable architecture and concepts for tackling the respective problem. Hence, our present workshop aims providing an overview on recent developments for deep learning concept as well as dedicating 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
We very much prefer to see you in Heidelberg in person. However, we will provide online access for a limited number of participants not able to attend in person.
For more information see here.