| A semigroup method for high dimensional committor functions based on neural network H Li, Y Khoo, Y Ren, L Ying Mathematical and Scientific Machine Learning, 598-618, 2022 | 13 | 2022 |
| Hermite spectral method for Fokker-Planck-Landau equation modeling collisional plasma R Li, Y Ren, Y Wang Journal of Computational Physics 434, 110235, 2021 | 12 | 2021 |
| High-dimensional density estimation with tensorizing flow Y Ren, H Zhao, Y Khoo, L Ying Research in the Mathematical Sciences 10 (3), 30, 2023 | 6 | 2023 |
| Solving for high dimensional committor functions using neural network with online approximation to derivatives H Li, Y Khoo, Y Ren, L Ying arXiv preprint arXiv:2012.06727, 2020 | 5 | 2020 |
| Statistical Spatially Inhomogeneous Diffusion Inference Y Ren, Y Lu, L Ying, GM Rotskoff Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14820 …, 2024 | | 2024 |
| Understanding the Generalization Benefits of Late Learning Rate Decay Y Ren, C Ma, L Ying arXiv preprint arXiv:2401.11600, 2024 | | 2024 |
| Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow Y Ren, T Xiao, T Gangwani, A Rangi, H Rahmanian, L Ying, S Sanyal arXiv preprint arXiv:2311.13159, 2023 | | 2023 |
Lexing YingProfessor of Mathematics, Stanford Universitystanford.edu의 이메일 확인됨
