Recent Advances in Numerical Solutions for Hamilton-Jacobi PDEs. - Meng, Tingwei; Liu, Siting; Fung, Samy Wu; Osher, Stanley J. (CoRR, 2025)

Fast Partial Fourier Transforms for Large-Scale Ptychography. - Parada, Ricardo; Fung, Samy Wu; Osher, Stanley J. (CoRR, 2024)

A hybrid SIAC - data-driven post-processing filter for discontinuities in solutions to numerical PDEs. - Terrab, Soraya; Fung, Samy Wu; Ryan, Jennifer K. (CoRR, 2024)

On Logical Extrapolation for Mazes with Recurrent and Implicit Networks. - Knutson, Brandon; Rabeendran, Amandin Chyba; Ivanitskiy, Michael I.; Pettyjohn, Jordan; Behn, Cecilia G. Diniz; Fung, Samy Wu; McKenzie, Daniel (CoRR, 2024)

A Generalization Bound for a Family of Implicit Networks. - Fung, Samy Wu; Berkels, Benjamin (CoRR, 2024)

A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. - Onken, Derek; Nurbekyan, Levon; Li, Xingjian; Fung, Samy Wu; Osher, Stanley J.; Ruthotto, Lars (IEEE Trans. Control. Syst. Technol., 2023)

Linearly Structured World Representations in Maze-Solving Transformers. - Ivanitskiy, Michael I.; Spies, Alex F.; Räuker, Tilman; Corlouer, Guillaume; Mathwin, Chris; Quirke, Lucia; Rager, Can; Shah, Rusheb; Valentine, Dan; Behn, Cecilia G. Diniz; Inoue, Katsumi; Fung, Samy Wu (2023)

Faster Predict-and-Optimize with Three-Operator Splitting. - McKenzie, Daniel; Fung, Samy Wu; Heaton, Howard (CoRR, 2023)

A Configurable Library for Generating and Manipulating Maze Datasets. - Ivanitskiy, Michael Igorevich; Shah, Rusheb; Spies, Alex F.; Räuker, Tilman; Valentine, Dan; Rager, Can; Quirke, Lucia; Mathwin, Chris; Corlouer, Guillaume; Behn, Cecilia G. Diniz; Fung, Samy Wu (CoRR, 2023)

Structured World Representations in Maze-Solving Transformers. - Ivanitskiy, Michael I.; Spies, Alex F.; Räuker, Tilman; Corlouer, Guillaume; Mathwin, Chris; Quirke, Lucia; Rager, Can; Shah, Rusheb; Valentine, Dan; Behn, Cecilia G. Diniz; Inoue, Katsumi; Fung, Samy Wu (CoRR, 2023)

Random features for high-dimensional nonlocal mean-field games. - Agrawal, Sudhanshu; Lee, Wonjun; Fung, Samy Wu; Nurbekyan, Levon (J. Comput. Phys., 2022)

Wasserstein-Based Projections with Applications to Inverse Problems. - Heaton, Howard; Fung, Samy Wu; Lin, Alex Tong; Osher, Stanley J.; Yin, Wotao (SIAM J. Math. Data Sci., 2022)

JFB: Jacobian-Free Backpropagation for Implicit Networks. - Fung, Samy Wu; Heaton, Howard; Li, Qiuwei; McKenzie, Daniel; Osher, Stanley J.; Yin, Wotao (2022)

Random Features for High-Dimensional Nonlocal Mean-Field Games. - Agrawal, Sudhanshu; Lee, Wonjun; Fung, Samy Wu; Nurbekyan, Levon (CoRR, 2022)

A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem. - Chow, Yat Tin; Fung, Samy Wu; Liu, Siting; Nurbekyan, Levon; Osher, Stanley J. (CoRR, 2022)

Explainable AI via Learning to Optimize. - Heaton, Howard; Fung, Samy Wu (CoRR, 2022)

Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme. - Vidal, Alexander; Fung, Samy Wu; Tenorio, Luis; Osher, Stanley J.; Nurbekyan, Levon (CoRR, 2022)

PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization. - Kan, Kelvin K.; Fung, Samy Wu; Ruthotto, Lars (SIAM J. Sci. Comput., 2021)

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. - Onken, Derek; Fung, Samy Wu; Li, Xingjian; Ruthotto, Lars (2021)

A Neural Network Approach Applied to Multi-Agent Optimal Control. - Onken, Derek; Nurbekyan, Levon; Li, Xingjian; Fung, Samy Wu; Osher, Stanley J.; Ruthotto, Lars (2021)

Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop. - Fung, Samy Wu; Heaton, Howard; Li, Qiuwei; McKenzie, Daniel; Osher, Stanley J.; Yin, Wotao (CoRR, 2021)

Feasibility-based Fixed Point Networks. - Heaton, Howard; Fung, Samy Wu; Gibali, Aviv; Yin, Wotao (CoRR, 2021)

Learn to Predict Equilibria via Fixed Point Networks. - Heaton, Howard; McKenzie, Daniel; Li, Qiuwei; Fung, Samy Wu; Osher, Stanley J.; Yin, Wotao (CoRR, 2021)

Adaptive Uncertainty-Weighted ADMM for Distributed Optimization. - Ye, Jianping; Wan, Caleb; Fung, Samy Wu (CoRR, 2021)

Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval. - Fung, Samy Wu; Di, Zichao Wendy (SIAM J. Imaging Sci., 2020)

APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. - Lin, Alex Tong; Fung, Samy Wu; Li, Wuchen; Nurbekyan, Levon; Osher, Stanley J. (CoRR, 2020)

PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization. - Kan, Kelvin K.; Fung, Samy Wu; Ruthotto, Lars (CoRR, 2020)

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. - Onken, Derek; Fung, Samy Wu; Li, Xingjian; Ruthotto, Lars (CoRR, 2020)

Projecting to Manifolds via Unsupervised Learning. - Heaton, Howard; Fung, Samy Wu; Lin, Alex Tong; Osher, Stanley J.; Yin, Wotao (CoRR, 2020)

A multiscale method for model order reduction in PDE parameter estimation. - Fung, Samy Wu; Ruthotto, Lars (J. Comput. Appl. Math., 2019)

An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation. - Fung, Samy Wu; Ruthotto, Lars (SIAM J. Sci. Comput., 2019)

Large-Scale Classification using Multinomial Regression and ADMM. - Fung, Samy Wu; Tyrväinen, Sanna; Ruthotto, Lars; Haber, Eldad (CoRR, 2019)

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. - Ruthotto, Lars; Osher, Stanley J.; Li, Wuchen; Nurbekyan, Levon; Fung, Samy Wu (CoRR, 2019)