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From Tempered to Benign Overfitting in ReLU Neural Networks


May 24, 2023
Guy Kornowski, Gilad Yehudai, Ohad Shamir

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Reconstructing Training Data from Multiclass Neural Networks


May 05, 2023
Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani

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Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Data Manifolds


Mar 01, 2023
Odelia Melamed, Gilad Yehudai, Gal Vardi

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Reconstructing Training Data from Trained Neural Networks


Jun 15, 2022
Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani

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Gradient Methods Provably Converge to Non-Robust Networks


Feb 09, 2022
Gal Vardi, Gilad Yehudai, Ohad Shamir

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Width is Less Important than Depth in ReLU Neural Networks


Feb 08, 2022
Gal Vardi, Gilad Yehudai, Ohad Shamir

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On the Optimal Memorization Power of ReLU Neural Networks


Oct 07, 2021
Gal Vardi, Gilad Yehudai, Ohad Shamir

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Learning a Single Neuron with Bias Using Gradient Descent


Jun 02, 2021
Gal Vardi, Gilad Yehudai, Ohad Shamir

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The Connection Between Approximation, Depth Separation and Learnability in Neural Networks


Jan 31, 2021
Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz, Ohad Shamir

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On Size Generalization in Graph Neural Networks


Oct 17, 2020
Gilad Yehudai, Ethan Fetaya, Eli Meirom, Gal Chechik, Haggai Maron

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