A rigorous framework for the mean field limit of multilayer neural networks PM Nguyen, HT Pham Mathematical Statistics and Learning 6 (3), 201-357, 2023 | 93 | 2023 |
A proof of the Kahn–Kalai conjecture J Park, H Pham Journal of the American Mathematical Society 37 (1), 235-243, 2024 | 52 | 2024 |
Entropic independence: optimal mixing of down-up random walks N Anari, V Jain, F Koehler, HT Pham, TD Vuong Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022 | 28 | 2022 |
Entropic independence I: Modified log-Sobolev inequalities for fractionally log-concave distributions and high-temperature ising models N Anari, V Jain, F Koehler, HT Pham, TD Vuong arXiv preprint arXiv:2106.04105, 2021 | 24 | 2021 |
Entropic independence in high-dimensional expanders: Modified log-sobolev inequalities for fractionally log-concave polynomials and the ising model N Anari, V Jain, F Koehler, HT Pham, TD Vuong arXiv preprint arXiv:2106.04105, 1-6, 2021 | 24 | 2021 |
Spectral independence, coupling, and the spectral gap of the Glauber dynamics V Jain, HT Pham, TD Vuong Information Processing Letters, 2022 | 23* | 2022 |
Global convergence of three-layer neural networks in the mean field regime HT Pham, PM Nguyen arXiv preprint arXiv:2105.05228, 2021 | 23 | 2021 |
Global Convergence of Three-layer Neural Networks in the Mean Field Regime HT Pham, PM Nguyen International Conference on Learning Representations (ICLR), 2021 | 23 | 2021 |
Entropic independence ii: optimal sampling and concentration via restricted modified log-Sobolev inequalities N Anari, V Jain, F Koehler, HT Pham, TD Vuong arXiv preprint arXiv:2111.03247, 2021 | 21 | 2021 |
Towards the sampling Lov\'asz Local Lemma V Jain, HT Pham, TD Vuong 62nd Annual IEEE Symposium on Foundations of Computer Science (FOCS 2021), 2021 | 20 | 2021 |
Common and Sidorenko Linear Equations J Fox, HT Pham, Y Zhao Quarterly Journal of Mathematics 72, 1223-1234, 2021 | 19 | 2021 |
On the sampling Lov\'asz Local Lemma for atomic constraint satisfaction problems V Jain, HT Pham, TD Vuong arXiv preprint arXiv:2102.08342, 2021 | 15 | 2021 |
Popular progression differences in vector spaces J Fox, HT Pham International Mathematics Research Notices, 2019 | 15 | 2019 |
Optimal thresholds for Latin squares, Steiner triple systems, and edge colorings V Jain, HT Pham Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024 | 12 | 2024 |
A toolkit for robust thresholds HT Pham, A Sah, M Sawhney, M Simkin arXiv preprint arXiv:2210.03064, 2022 | 11 | 2022 |
Regularity method and large deviation principles for the Erdős–Rényi hypergraph NA Cook, A Dembo, HT Pham Duke Mathematical Journal 173 (5), 873-946, 2024 | 9 | 2024 |
Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training HT Pham, PM Nguyen Advances in Neural Information Processing Systems 34, 4843-4855, 2021 | 9 | 2021 |
Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses N Anari, V Jain, F Koehler, HT Pham, TD Vuong Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024 | 8 | 2024 |
Subset sums, completeness and colorings D Conlon, J Fox, HT Pham arXiv preprint arXiv:2104.14766, 2021 | 7 | 2021 |
A note on the global convergence of multilayer neural networks in the mean field regime HT Pham, PM Nguyen arXiv preprint arXiv:2006.09355, 2020 | 7 | 2020 |