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Itay Safran
Itay Safran
Assistant Professor of Computer Science, Ben-Gurion University
Geverifieerd e-mailadres voor bgu.ac.il - Homepage
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Spurious local minima are common in two-layer relu neural networks
I Safran, O Shamir
International conference on machine learning, 4433-4441, 2018
3172018
Depth-width tradeoffs in approximating natural functions with neural networks
I Safran, O Shamir
International conference on machine learning, 2979-2987, 2017
241*2017
On the quality of the initial basin in overspecified neural networks
I Safran, O Shamir
International Conference on Machine Learning, 774-782, 2016
1502016
A simple explanation for the existence of adversarial examples with small hamming distance
A Shamir, I Safran, E Ronen, O Dunkelman
arXiv preprint arXiv:1901.10861, 2019
962019
How good is SGD with random shuffling?
I Safran, O Shamir
Conference on Learning Theory, 3250-3284, 2020
932020
Depth separations in neural networks: what is actually being separated?
I Safran, R Eldan, O Shamir
Conference on Learning Theory, 2664-2666, 2019
432019
The effects of mild over-parameterization on the optimization landscape of shallow relu neural networks
IM Safran, G Yehudai, O Shamir
Conference on Learning Theory, 3889-3934, 2021
402021
On the effective number of linear regions in shallow univariate relu networks: Convergence guarantees and implicit bias
I Safran, G Vardi, JD Lee
Advances in Neural Information Processing Systems 35, 32667-32679, 2022
362022
Random shuffling beats SGD only after many epochs on ill-conditioned problems
I Safran, O Shamir
Advances in Neural Information Processing Systems 34, 15151-15161, 2021
262021
Optimization-based separations for neural networks
I Safran, J Lee
Conference on Learning Theory, 3-64, 2022
192022
How Many Neurons Does it Take to Approximate the Maximum?
I Safran, D Reichman, P Valiant
Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024
82024
Provable Privacy Attacks on Trained Shallow Neural Networks
G Smorodinsky, G Vardi, I Safran
arXiv preprint arXiv:2410.07632, 2024
2024
Depth Separations in Neural Networks: Separating the Dimension from the Accuracy
I Safran, D Reichman, P Valiant
arXiv preprint arXiv:2402.07248, 2024
2024
Towards Theoretical Foundations for Artificial Neural Networks
I Safran
Weizmann Institute of Science, 2020
2020
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Artikelen 1–14