Research Group Felix Dietrich

Felix Dietrich

holds a professorship for Physics-Enhanced Machine Learning at TU Munich.

His research focus on the analysis and development of numerical algorithms for machine learning. This covers algorithms to enable, accelerate, and optimize simulation and analysis of complex dynamical systems, as well as nonlinear manifold learning techniques, including data-driven approximations of Koopman and Laplace operators. Recently, his group has also worked on energy-efficient training of neural networks inspired by random feature modeling.