The Robert Bosch GmbH (Stuttgart), the Center for Industrial Mathematics (ZeTeM,
University of Bremen), and the Committee for Mathematical Modeling, Simulation, and
Optimization (KoMSO) are pleased to announce the fourth edition of the KoMSO
Academy, dedicated to “Deep Learning Methods for Partial Differential Equations”.
The KoMSO Academy aims to provide mathematicians with a platform for exchange on
novel mathematical concepts relevant to industrial applications.
Deep learning concepts for PDEs are rapidly evolving, and researchers in this field face
the challenge of selecting suitable architectures, loss functions, and training schemes for
their specific problems. This workshop therefore aims to provide an overview of recent
developments in deep learning methods. This year, we will host invited talks on advanced
training schemes and parameter optimization processes. In addition, we will dedicate
substantial time to hands-on training sessions with practical examples.
The workshop is based on collaboration with Robert Bosch GmbH and on joint software
development projects. It will be complemented by invited talks from distinguished experts
from academia and industry.
Post expires at 9:59am on Wednesday December 2nd, 2026