Helias, Moritz

5 publications

ICML 2025 From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning Noa Rubin, Kirsten Fischer, Javed Lindner, Inbar Seroussi, Zohar Ringel, Michael Krämer, Moritz Helias

ICMLW 2024 A Unified Approach to Feature Learning in Bayesian Neural Networks Noa Rubin, Zohar Ringel, Inbar Seroussi, Moritz Helias

ICML 2024 Critical Feature Learning in Deep Neural Networks Kirsten Fischer, Javed Lindner, David Dahmen, Zohar Ringel, Michael Krämer, Moritz Helias

NeurIPS 2024 Graph Neural Networks Do Not Always Oversmooth Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub

NeurIPS 2020 Unfolding Recurrence by Green’s Functions for Optimized Reservoir Computing Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias