Vision transformers provably learn spatial structure S Jelassi, M Sander, Y Li
Advances in Neural Information Processing Systems 35, 37822-37836, 2022
99 2022 A momentumized, adaptive, dual averaged gradient method A Defazio, S Jelassi
Journal of Machine Learning Research 23 (144), 1-34, 2022
91 * 2022 Global convergence of neuron birth-death dynamics G Rotskoff, S Jelassi, J Bruna, E Vanden-Eijnden
International Conference on Machine Learning, 2019
68 * 2019 A mean-field analysis of two-player zero-sum games C Domingo-Enrich, S Jelassi, A Mensch, G Rotskoff, J Bruna
Advances in neural information processing systems 33, 20215-20226, 2020
64 2020 A permutation-equivariant neural network architecture for auction design J Rahme, S Jelassi, J Bruna, SM Weinberg
Proceedings of the AAAI conference on artificial intelligence 35 (6), 5664-5672, 2021
62 2021 Repeat after me: Transformers are better than state space models at copying S Jelassi, D Brandfonbrener, SM Kakade, E Malach
arXiv preprint arXiv:2402.01032, 2024
55 2024 Auction learning as a two-player game J Rahme, S Jelassi, SM Weinberg
arXiv preprint arXiv:2006.05684, 2020
53 2020 Towards understanding how momentum improves generalization in deep learning S Jelassi, Y Li
International Conference on Machine Learning, 9965-10040, 2022
45 2022 Length generalization in arithmetic transformers S Jelassi, S d'Ascoli, C Domingo-Enrich, Y Wu, Y Li, F Charton
arXiv preprint arXiv:2306.15400, 2023
34 2023 Smoothed analysis of the low-rank approach for smooth semidefinite programs T Pumir, S Jelassi, N Boumal
Advances in Neural Information Processing Systems 31, 2018
29 2018 Towards closing the gap between the theory and practice of SVRG O Sebbouh, N Gazagnadou, S Jelassi, F Bach, R Gower
Advances in neural information processing systems 32, 2019
21 2019 Dissecting adaptive methods in GANs S Jelassi, D Dobre, A Mensch, Y Li, G Gidel
arXiv preprint arXiv:2210.04319, 2022
19 * 2022 Depth separation beyond radial functions L Venturi, S Jelassi, T Ozuch, J Bruna
Journal of machine learning research 23 (122), 1-56, 2022
18 2022 Extra-gradient with player sampling for faster convergence in n-player games S Jelassi, C Domingo-Enrich, D Scieur, A Mensch, J Bruna
International Conference on Machine Learning, 4736-4745, 2020
14 * 2020 Depth Dependence of S Jelassi, B Hanin, Z Ji, SJ Reddi, S Bhojanapalli, S Kumar
arXiv preprint arXiv:2305.07810, 2023
6 2023 Universal length generalization with turing programs K Hou, D Brandfonbrener, S Kakade, S Jelassi, E Malach
arXiv preprint arXiv:2407.03310, 2024
5 2024 Mixture of parrots: Experts improve memorization more than reasoning S Jelassi, C Mohri, D Brandfonbrener, A Gu, N Vyas, N Anand, ...
arXiv preprint arXiv:2410.19034, 2024
3 2024 Q-Probe: A Lightweight Approach to Reward Maximization for Language Models K Li, S Jelassi, H Zhang, S Kakade, M Wattenberg, D Brandfonbrener
arXiv preprint arXiv:2402.14688, 2024
3 2024 Lora soups: Merging loras for practical skill composition tasks A Prabhakar, Y Li, K Narasimhan, S Kakade, E Malach, S Jelassi
arXiv preprint arXiv:2410.13025, 2024
2 2024 How Does Overparameterization Affect Features? AC Duzgun, S Jelassi, Y Li
arXiv preprint arXiv:2407.00968, 2024
2024 
Yuanzhi LiAssistant Professor at CMUEmail yang diverifikasi di andrew.cmu.edu