Noa Rubin

According to our database, Noa Rubin authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity.

Noa Rubin, Orit Davidovich, Zohar Ringel

CoRR, December, 2025

Applications of Statistical Field Theory in Deep Learning.

Zohar Ringel, Noa Rubin, Edo Mor, Moritz Helias, Inbar Seroussi

CoRR, February, 2025

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning.

Noa Rubin, Kirsten Fischer, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, Michael Krämer, Moritz Helias

CoRR, February, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Grokking as a First Order Phase Transition in Two Layer Networks.

Noa Rubin, Inbar Seroussi, Zohar Ringel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Droplets of Good Representations: Grokking as a First Order Phase Transition in Two Layer Networks.

Noa Rubin, Inbar Seroussi, Zohar Ringel

CoRR, 2023