| A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems L Ruthotto, S Osher, W Li, L Nurbekyan, SW Fung Proceedings of the National Academy of Sciences 117 (17), 2019-22204, 2020 | 131 | 2020 |
| Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games AT Lin, SW Fung, W Li, L Nurbekyan, SJ Osher Proceedings of the National Academy of Sciences 118 (31), e2024713118, 2021 | 69* | 2021 |
| OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport D Onken, SW Fung, X Li, L Ruthotto Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9223-9232, 2021 | 65 | 2021 |
| JFB: Jacobian-Free Backpropagation for Implicit Networks SW Fung, H Heaton, Q Li, D McKenzie, S Osher, W Yin Proceedings of the AAAI Conference on Artificial Intelligence 36, 2022 | 51* | 2022 |
| A neural network approach for high-dimensional optimal control applied to multiagent path finding D Onken, L Nurbekyan, X Li, SW Fung, S Osher, L Ruthotto IEEE Transactions on Control Systems Technology 31 (1), 235-251, 2022 | 24* | 2022 |
| Feasibility-based fixed point networks H Heaton, S Wu Fung, A Gibali, W Yin Fixed Point Theory and Algorithms for Sciences and Engineering 2021 (1), 1-19, 2021 | 21 | 2021 |
| Learn to predict equilibria via fixed point networks H Heaton, D McKenzie, Q Li, SW Fung, S Osher, W Yin arXiv preprint arXiv:2106.00906, 2021 | 16 | 2021 |
| A neural network approach applied to multi-agent optimal control D Onken, L Nurbekyan, X Li, SW Fung, S Osher, L Ruthotto 2021 European Control Conference (ECC), 1036-1041, 2021 | 15 | 2021 |
| Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval SW Fung, Z Di SIAM Journal on Imaging Sciences 13 (1), 214–233, 2020 | 15 | 2020 |
| Wasserstein-Based Projections with Applications to Inverse Problems H Heaton, SW Fung, AT Lin, S Osher, W Yin SIAM Journal on Mathematics of Data Science 4 (2), 581-603, 2022 | 14* | 2022 |
| A Multiscale Method for Model Order Reduction in PDE Parameter Estimation SW Fung, L Ruthotto Journal of Computational and Applied Mathematics 350, 19-34, 2019 | 14 | 2019 |
| An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation SW Fung, L Ruthotto SIAM Journal on Scientific Computing 41 (5), S129-S148, 2019 | 13 | 2019 |
| PNKH-B: A Projected Newton--Krylov Method for Large-Scale Bound-Constrained Optimization K Kan, SW Fung, L Ruthotto SIAM Journal on Scientific Computing 43 (5), S704-S726, 2021 | 10 | 2021 |
| ADMM-Softmax: An ADMM Approach for Multinomial Logistic Regression SW Fung, S Tyrväinen, L Ruthotto, E Haber Electronic Transactions on Numerical Analysis 52, 214-229, 2019 | 10 | 2019 |
| Large-scale parameter estimation in geophysics and machine learning SW Fung Emory University, 2019 | 5 | 2019 |
| Random features for high-dimensional nonlocal mean-field games S Agrawal, W Lee, SW Fung, L Nurbekyan Journal of Computational Physics 459, 111136, 2022 | 4 | 2022 |
| Global solutions to nonconvex problems by evolution of hamilton-jacobi pdes H Heaton, S Wu Fung, S Osher Communications on Applied Mathematics and Computation, 1-21, 2023 | 3 | 2023 |
| A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem YT Chow, SW Fung, S Liu, L Nurbekyan, S Osher Inverse Problems 39 (1), 014001, 2022 | 3 | 2022 |
| Explainable AI via Learning to Optimize H Heaton, SW Fung arXiv preprint arXiv:2204.14174, 2022 | 2 | 2022 |
| A Hamilton-Jacobi-based Proximal Operator S Osher, H Heaton, SW Fung arXiv preprint arXiv:2211.12997, 2022 | 1 | 2022 |
S osherVerified email at math.ucla.edu
