Ringel, Zohar

7 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

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

ICML 2024 Towards Understanding Inductive Bias in Transformers: A View from Infinity Itay Lavie, Guy Gur-Ari, Zohar Ringel

NeurIPS 2021 A Self Consistent Theory of Gaussian Processes Captures Feature Learning Effects in Finite CNNs Gadi Naveh, Zohar Ringel

ICLR 2018 Critical Percolation as a Framework to Analyze the Training of Deep Networks Zohar Ringel, Rodrigo Andrade de Bem