Articles with public access mandates - Gilad YehudaiLearn more
Available somewhere: 11
Proving the lottery ticket hypothesis: Pruning is all you need
E Malach, G Yehudai, S Shalev-Schwartz, O Shamir
International Conference on Machine Learning, 6682-6691, 2020
Mandates: European Commission
On the power and limitations of random features for understanding neural networks
G Yehudai, O Shamir
Advances in Neural Information Processing Systems, 2019
Mandates: European Commission
Reconstructing training data from trained neural networks
N Haim, G Vardi, G Yehudai, O Shamir, M Irani
Advances in Neural Information Processing Systems 35, 22911-22924, 2022
Mandates: European Commission
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
Mandates: European Commission
Gradient methods provably converge to non-robust networks
G Vardi, G Yehudai, O Shamir
Advances in Neural Information Processing Systems 35, 20921-20932, 2022
Mandates: European Commission
From tempered to benign overfitting in relu neural networks
G Kornowski, G Yehudai, O Shamir
Advances in Neural Information Processing Systems 36, 58011-58046, 2023
Mandates: European Commission
Learning a single neuron with bias using gradient descent
G Vardi, G Yehudai, O Shamir
Advances in Neural Information Processing Systems 34, 28690-28700, 2021
Mandates: European Commission
The connection between approximation, depth separation and learnability in neural networks
E Malach, G Yehudai, S Shalev-Schwartz, O Shamir
Conference on Learning Theory, 3265-3295, 2021
Mandates: European Commission
Deconstructing data reconstruction: Multiclass, weight decay and general losses
G Buzaglo, N Haim, G Yehudai, G Vardi, Y Oz, Y Nikankin, M Irani
Advances in Neural Information Processing Systems 36, 51515-51535, 2023
Mandates: US National Science Foundation, European Commission
Width is less important than depth in ReLU neural networks
G Vardi, G Yehudai, O Shamir
Conference on learning theory, 1249-1281, 2022
Mandates: European Commission
Adversarial examples exist in two-layer relu networks for low dimensional linear subspaces
O Melamed, G Yehudai, G Vardi
Advances in Neural Information Processing Systems 36, 5028-5049, 2023
Mandates: US National Science Foundation, European Commission
Publication and funding information is determined automatically by a computer program