Convergence of Continual Learning in Homogeneous Deep Networks
Schilserman, Buzaglo, Evron, Soudry. COLT 2026.

A Graph Meta-Network for Learning on Kolmogorov–Arnold Networks
Bar-Shalom, Tavory, Evron, Bechler-Speicher, Guy, Maron. ICLR 2026.

Optimal L2 Regularization in High-dimensional Continual Linear Regression
Karpel, Moroshko, Levinstein, Meir, Soudry, and Evron. ALT 2026.

Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
Tsipory*, Levinstein*, Evron*, Kong*, Needell, and Soudry. NeurIPS 2025.

Optimal Rates in Continual Linear Regression via Increasing Regularization
Levinstein*, Attia*, Schliserman*, Sherman*, Koren, Soudry, and Evron. NeurIPS 2025.

From Continual Learning to SGD and Back: Better Rates for Continual Linear Models
Evron*, Levinstein*, Schliserman*, Sherman*, Koren, Soudry, and Srebro. ALT 2026.

Provable Tempered Overfitting of Minimal Nets and Typical Nets
Harel, Hoza, Vardi, Evron, Srebro, and Soudry. NeurIPS 2024.

• Workshop version (HiLD @ ICML 2024)

The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting – An Analytical Model
Goldfarb*, Evron*, Weinberger, Soudry, and Hand. ICLR 2024.

• Poster | 4 min video

Continual Learning in Linear Classification on Separable Data
Evron, Moroshko, Buzaglo, Khriesh, Marjieh, Srebro, and Soudry. ICML 2023.

• 5 min video

The Role of Codeword-to-Class Assignments in Error Correcting Codes: An Empirical Study
Evron*, Onn*, Weiss, Azeroual, and Soudry. AISTATS 2023.

• Github project

How catastrophic can catastrophic forgetting be in linear regression?
Evron, Moroshko, Ward, Srebro, and Soudry. COLT 2022.

• 15 min video (English) | 1 h talk at the Hebrew University (Hebrew)

How do infinite width bounded norm networks look in function space?
Savarese, Evron, Soudry, and Srebro. COLT 2019.

Towards Learning of Filter Level Heterogeneous Compression of Convolutional Neural Networks
Zur, Baskin, Zheltonozhskii, Chmiel, Evron,  Bronstein, and Mendelson. Auto ML Workshop, ICML 2019.

Efficient Loss Based Decoding on Graphs for Extreme Classification
Evron , Moroshko, and Crammer. NeurIPS 2018.

• Github project

Introduction to Machine Learning

Project advisor in Machine Learning

Numerical Algorithms

Project advisor in Artificial Intelligence

Introduction to Artificial Intelligence

Algorithms 1

Introduction to Computer Science