Noam Itzhak Levi

According to our database, Noam Itzhak Levi authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Sampling Data with Chains of Forward-Backward Diffusion Steps.

Hyunmo Kang, Noam Itzhak Levi, Corinna Elena Wegner, Daniel J. Korchinski, Matthieu Wyart

CoRR, May, 2026

The Implicit Bias of Logit Regularization.

Alon Beck, Yohai Bar-Sinai, Noam Itzhak Levi

CoRR, February, 2026

2025

Ascent Fails to Forget.

Ioannis Mavrothalassitis, Pol Puigdemont, Noam Itzhak Levi, Volkan Cevher

CoRR, September, 2025

The Underlying Universal Statistical Structure of Natural Datasets.

Noam Itzhak Levi, Yaron Oz

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

A Simple Model of Inference Scaling Laws.

Noam Itzhak Levi

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

Grokking at the Edge of Linear Separability.

Alon Beck, Noam Itzhak Levi, Yohai Bar-Sinai

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

Probing the Latent Hierarchical Structure of Data via Diffusion Models.

Antonio Sclocchi, Alessandro Favero, Noam Itzhak Levi, Matthieu Wyart

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets.

Khen Cohen, Noam Itzhak Levi, Yaron Oz

CoRR, 2024

Grokking in Linear Estimators - A Solvable Model that Groks without Understanding.

Noam Itzhak Levi, Alon Beck, Yohai Bar-Sinai

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets.

Noam Itzhak Levi, Yaron Oz

CoRR, 2023

Charting the Topography of the Neural Network Landscape with Thermal-Like Noise.

Théo Jules, Gal Brener, Tal Kachman, Noam Itzhak Levi, Yohai Bar-Sinai

CoRR, 2023