Gilad Yehudai

According to our database, Gilad Yehudai authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RedEx: Beyond Fixed Representation Methods via Convex Optimization.

Amit Daniely, Mariano Schain, Gilad Yehudai

CoRR, 2024

2023

Locally Optimal Descent for Dynamic Stepsize Scheduling.

Gilad Yehudai, Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain

CoRR, 2023

Reconstructing Training Data from Multiclass Neural Networks.

Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani

CoRR, 2023

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

Odelia Melamed, Gilad Yehudai, Gal Vardi

CoRR, 2023

Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces.

Odelia Melamed, Gilad Yehudai, Gal Vardi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

From Tempered to Benign Overfitting in ReLU Neural Networks.

Guy Kornowski, Gilad Yehudai, Ohad Shamir

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses.

Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Gradient Methods Provably Converge to Non-Robust Networks.

Gal Vardi, Gilad Yehudai, Ohad Shamir

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reconstructing Training Data From Trained Neural Networks.

Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Optimal Memorization Power of ReLU Neural Networks.

Gal Vardi, Gilad Yehudai, Ohad Shamir

Proceedings of the Tenth International Conference on Learning Representations, 2022

Width is Less Important than Depth in ReLU Neural Networks.

Gal Vardi, Gilad Yehudai, Ohad Shamir

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Learning a Single Neuron with Bias Using Gradient Descent.

Gal Vardi, Gilad Yehudai, Ohad Shamir

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

From Local Structures to Size Generalization in Graph Neural Networks.

Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron

Proceedings of the 38th International Conference on Machine Learning, 2021

The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks.

Itay Safran, Gilad Yehudai, Ohad Shamir

Proceedings of the Conference on Learning Theory, 2021

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

Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz, Ohad Shamir

Proceedings of the Conference on Learning Theory, 2021

2020

On Size Generalization in Graph Neural Networks.

Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron

CoRR, 2020

Proving the Lottery Ticket Hypothesis: Pruning is All You Need.

Eran Malach, Gilad Yehudai, Shai Shalev-Shwartz, Ohad Shamir

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning a Single Neuron with Gradient Methods.

Gilad Yehudai, Ohad Shamir

Proceedings of the Conference on Learning Theory, 2020

2019

On the Power and Limitations of Random Features for Understanding Neural Networks.

Gilad Yehudai, Ohad Shamir

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019