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Samy Wu Fung
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A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
L Ruthotto, S Osher, W Li, L Nurbekyan, S Wu Fung
Proceedings of the National Academy of Sciences 117 (17), 2019-22204, 2020
2652020
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
D Onken, S Wu Fung, X Li, L Ruthotto
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9223-9232, 2021
1692021
JFB: Jacobian-Free Backpropagation for Implicit Networks
S Wu Fung, H Heaton, Q Li, D McKenzie, S Osher, W Yin
Proceedings of the AAAI Conference on Artificial Intelligence 36, 2022
138*2022
Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games
AT Lin, S Wu Fung, W Li, L Nurbekyan, SJ Osher
Proceedings of the National Academy of Sciences 118 (31), e2024713118, 2021
116*2021
A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding
D Onken, L Nurbekyan, X Li, S Wu Fung, S Osher, L Ruthotto
IEEE Transactions on Control Systems Technology 31 (1), 235-251, 2022
652022
A Neural Network Approach Applied to Multi-Agent Optimal Control
D Onken, L Nurbekyan, X Li, S Wu Fung, S Osher, L Ruthotto
2021 European Control Conference (ECC), 1036-1041, 2021
422021
Feasibility-based fixed point networks
H Heaton, S Wu Fung, A Gibali, W Yin
Fixed Point Theory and Algorithms for Sciences and Engineering 2021, 1-19, 2021
362021
Three-Operator Splitting for Learning to Predict Equilibria in Convex Games
D McKenzie, H Heaton, Q Li, S Wu Fung, S Osher, W Yin
SIAM Journal on Mathematics of Data Science 6 (3), 627-648, 2024
32*2024
A Numerical Algorithm for Inverse Problems from Partial Boundary Measurement Arising from Mean Field Game Problems
YT Chow, S Wu Fung, S Liu, L Nurbekyan, S Osher
Inverse Problems 39 (1), 014001, 2022
322022
Wasserstein-Based Projections with Applications to Inverse Problems
H Heaton, S Wu Fung, AT Lin, S Osher, W Yin
SIAM Journal on Mathematics of Data Science 4 (2), 581-603, 2022
29*2022
Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval
S Wu Fung, Z Di
SIAM Journal on Imaging Sciences 13 (1), 214–233, 2020
202020
Explainable AI via learning to optimize
H Heaton, S Wu Fung
Scientific Reports 13 (1), 10103, 2023
162023
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme
A Vidal, S Wu Fung, L Tenorio, S Osher, L Nurbekyan
Scientific reports 13 (1), 4501, 2023
162023
A Multiscale Method for Model Order Reduction in PDE Parameter Estimation
S Wu Fung, L Ruthotto
Journal of Computational and Applied Mathematics 350, 19-34, 2019
162019
An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation
S Wu Fung, L Ruthotto
SIAM Journal on Scientific Computing 41 (5), S129-S148, 2019
162019
ADMM-Softmax: An ADMM Approach for Multinomial Logistic Regression
S Wu Fung, S Tyrväinen, L Ruthotto, E Haber
Electronic Transactions on Numerical Analysis 52, 214-229, 2019
162019
A Hamilton–Jacobi-Based Proximal Operator
S Osher, H Heaton, S Wu Fung
Proceedings of the National Academy of Sciences 120 (14), e2220469120, 2023
152023
Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting
D McKenzie, S Wu Fung, H Heaton
Transactions on Machine Learning Research, 2024
14*2024
PNKH-B: A Projected Newton--Krylov Method for Large-Scale Bound-Constrained Optimization
K Kan, S Wu Fung, L Ruthotto
SIAM Journal on Scientific Computing 43 (5), S704-S726, 2021
132021
Global Solutions to Nonconvex Problems by Evolution of Hamilton-Jacobi PDEs
H Heaton, S Wu Fung, S Osher
Communications on Applied Mathematics and Computation 6 (2), 790-810, 2024
122024
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