Mathis Gerdes
Incoming IAIFI Fellow @ MIT
I work where theoretical physics meets modern machine learning, understanding how symmetry, geometry, and probabilistic structure can shape computation—and what physics can teach us about learning. I obtained my PhD from the University of Amsterdam, working with Miranda Cheng and Christoph Weniger.
Selected Publications
M. Gerdes, P. de Haan, R. Bondesan, M. C. N. Cheng
M. Gerdes, M. Welling, M. C. N. Cheng
M. Gerdes, P. de Haan, C. Rainone, R. Bondesan, M. C. N. Cheng
L. B. Anderson, M. Gerdes, J. Gray, S. Krippendorf, N. Raghuram, F. Ruehle