Philipp Misof

As part of Jan Gerken's group, my research lies in the area of mathematical foundations of deep learning. I'm particularly interested in geometric descriptions of neural networks (NNs), e.g. group-equivariant NNs, allowing for better-tailored algorithms, as well as in the regime of wide neural networks that is governed by the neural tangent kernel. Owing to my physics background, my work is influenced by symmetry-centered approaches typically found in mathematical physics and quantum field theory. Possible applications in condensed matter physics and autonomous driving are also part of my interests.