The Viewing Graph. - Noam Levi; Michael Werman (CVPR (1), 2003)

Noise Injection as a Probe of Deep Learning Dynamics. - Noam Levi; Itay Bloch; Marat Freytsis; Tomer Volansky (CoRR, 2022)

Noise Injection Node Regularization for Robust Learning. - Noam Levi; Itay M. Bloch; Marat Freytsis; Tomer Volansky (ICLR, 2023)

Charting the Topography of the Neural Network Landscape with Thermal-Like Noise. - Théo Jules; Gal Brener; Tal Kachman; Noam Levi; Yohai Bar-Sinai (CoRR, 2023)

The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets. - Noam Levi; Yaron Oz (CoRR, 2023)

Grokking in Linear Estimators - A Solvable Model that Groks without Understanding. - Noam Levi; Alon Beck; Yohai Bar-Sinai (ICLR, 2024)

Measuring Sharpness in Grokking. - Jack W. Miller; Patrick J. Gleeson; Charles O'Neill; Thang D. Bui; Noam Levi (CoRR, 2024)

Decoupled Weight Decay for Any p Norm. - Nadav Joseph Outmezguine; Noam Levi (CoRR, 2024)

Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets. - Khen Cohen; Noam Levi; Yaron Oz (CoRR, 2024)

Grokking at the Edge of Linear Separability. - Alon Beck; Noam Levi; Yohai Bar-Sinai (CoRR, 2024)

A Simple Model of Inference Scaling Laws. - Noam Levi (CoRR, 2024)