Itay Safran

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Highly Non Linear

Top Venues

Publications

Itay Safran, Daniel Reichman, Paul Valiant
Depth Separations in Neural Networks: Separating the Dimension from the Accuracy. CoRR (2024)
Itay Safran, Daniel Reichman, Paul Valiant
How Many Neurons Does it Take to Approximate the Maximum? CoRR (2023)
Itay Safran, Gal Vardi, Jason D. Lee
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias. NeurIPS (2022)
Itay Safran, Gal Vardi, Jason D. Lee
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias. CoRR (2022)
Itay Safran, Jason D. Lee
Optimization-Based Separations for Neural Networks. COLT (2022)
Itay Safran, Ohad Shamir
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems. NeurIPS (2021)
Itay Safran, Ohad Shamir
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems. CoRR (2021)
Itay Safran, Jason D. Lee
Optimization-Based Separations for Neural Networks. CoRR (2021)
Itay Safran, Gilad Yehudai, Ohad Shamir
The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks. CoRR (2020)
Itay Safran, Ohad Shamir
How Good is SGD with Random Shuffling? COLT (2020)
Itay Safran, Ronen Eldan, Ohad Shamir
Depth Separations in Neural Networks: What is Actually Being Separated? CoRR (2019)
Adi Shamir, Itay Safran, Eyal Ronen, Orr Dunkelman
A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance. CoRR (2019)
Itay Safran, Ronen Eldan, Ohad Shamir
Depth Separations in Neural Networks: What is Actually Being Separated? COLT (2019)
Itay Safran, Ohad Shamir
How Good is SGD with Random Shuffling? CoRR (2019)
Itay Safran, Ohad Shamir
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks. ICML (2018)
Itay Safran, Ohad Shamir
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks. CoRR (2017)
Itay Safran, Ohad Shamir
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks. ICML (2017)
Itay Safran, Ohad Shamir
Depth Separation in ReLU Networks for Approximating Smooth Non-Linear Functions. CoRR (2016)
Itay Safran, Ohad Shamir
On the Quality of the Initial Basin in Overspecified Neural Networks. ICML (2016)
Itay Safran, Ohad Shamir
On the Quality of the Initial Basin in Overspecified Neural Networks. CoRR (2015)