Geometry, Algebra and Physics in Deep Neural Networks

Inauguration lecture for Daniel Persson’s promotion to full professor of mathematics.

Interview with Daniel Persson on the occasion of his upcoming promotion to full professor of mathematics.

Public lecture by Daniel Persson for high school students at Hulebäcksgymnasiet.

Paper by Daniel Persson together with Emma Andersdotter and Fredrik Ohlsson at Umeå University.

This week Elias Nyholm is attending the CaLISTA workshop on Geometry-Informed Machine Learning in Paris, where he will present a poster on General Equivariant Transformers.

Daniel Persson organized a workshop at Hässelby slott in Stockholm, aimed at gathering all supervisors within the WASP math-AI track. Jan Gerken gave a talk on Geometric deep learning and neural tangent kernels.

Philipp Misof is currently at the Princeton University and meeting other PhD students and lecturers focusing on theoretical aspects of ML. Today he will present his poster on “Equivariant Neural Tangent Kernels” at the poster session.

Our group members Max Guillen and Jan Gerken participated in the IAIFI 2024 Summer Workshop about physics and AI at MIT and presented work on the RG flow of the NTK dynamics at finite-width from Feynman diagrams as well as Symmetries and the Neural Tangent Kernel.