Rubin, Noa

4 publications

ICLR 2026 Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity Noa Rubin, Orit Davidovich, Zohar Ringel

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

ICLR 2024 Grokking as a First Order Phase Transition in Two Layer Networks Noa Rubin, Inbar Seroussi, Zohar Ringel