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2020 – today
- 2025
[i8]Rylan Schaeffer, Noam Levi
, Andreas Kirsch, Theo Guenais, Brando Miranda, Elyas Obbad, Sanmi Koyejo:
Evaluating the Robustness of Chinchilla Compute-Optimal Scaling. CoRR abs/2509.23963 (2025)- [i7]Rylan Schaeffer, Noam Levi, Brando Miranda, Sanmi Koyejo:
Pretraining Scaling Laws for Generative Evaluations of Language Models. CoRR abs/2509.24012 (2025) - [i6]Joshua Kazdan, Rylan Schaeffer, Youssef Allouah, Colin Sullivan, Kyssen Yu, Noam Levi, Sanmi Koyejo:
Efficient Prediction of Pass@k Scaling in Large Language Models. CoRR abs/2510.05197 (2025) - 2024
- [i5]Jack W. Miller, Patrick J. Gleeson, Charles O'Neill, Thang D. Bui, Noam Levi:
Measuring Sharpness in Grokking. CoRR abs/2402.08946 (2024) - [i4]Nadav Joseph Outmezguine, Noam Levi:
Decoupled Weight Decay for Any p Norm. CoRR abs/2404.10824 (2024) - [i3]Noam Levi:
A Simple Model of Inference Scaling Laws. CoRR abs/2410.16377 (2024) - 2023
- [c2]Noam Levi, Itay M. Bloch, Marat Freytsis, Tomer Volansky:
Noise Injection Node Regularization for Robust Learning. ICLR 2023 - 2022
- [i2]Noam Levi, Itay Bloch, Marat Freytsis, Tomer Volansky:
Noise Injection as a Probe of Deep Learning Dynamics. CoRR abs/2210.13599 (2022) - [i1]Noam Levi, Itay M. Bloch, Marat Freytsis, Tomer Volansky:
Noise Injection Node Regularization for Robust Learning. CoRR abs/2210.15764 (2022)
2000 – 2009
- 2003
- [c1]Noam Levi, Michael Werman:
The Viewing Graph. CVPR (1) 2003: 518-524
Coauthor Index
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