Seroussi, Inbar

4 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

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

NeurIPS 2024 The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms Elizabeth Collins-Woodfin, Inbar Seroussi, Begoña García Malaxechebarría, Andrew W. Mackenzie, Elliot Paquette, Courtney Paquette