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

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

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

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

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

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

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

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. - Derek Onken; Samy Wu Fung; Xingjian Li 005; Lars Ruthotto (AAAI, 2021)

A Neural Network Approach Applied to Multi-Agent Optimal Control. - Derek Onken; Levon Nurbekyan; Xingjian Li 005; Samy Wu Fung; Stanley J. Osher; Lars Ruthotto (ECC, 2021)

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

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

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

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

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

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

A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem. - Yat Tin Chow; Samy Wu Fung; Siting Liu 003; Levon Nurbekyan; Stanley J. Osher (CoRR, 2022)

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

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

Random features for high-dimensional nonlocal mean-field games. - Sudhanshu Agrawal; Wonjun Lee 004; Samy Wu Fung; Levon Nurbekyan (J. Comput. Phys., 2022)

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

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

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

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

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

A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. - Derek Onken; Levon Nurbekyan; Xingjian Li 005; Samy Wu Fung; Stanley J. Osher; Lars Ruthotto (IEEE Trans. Control. Syst. Technol., 2023)

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

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

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

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

Three-Operator Splitting for Learning to Predict Equilibria in Convex Games. - Daniel McKenzie; Howard Heaton; Qiuwei Li; Samy Wu Fung; Stanley J. Osher; Wotao Yin (SIAM J. Math. Data Sci., 2024)

Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting. - Daniel McKenzie; Howard Heaton; Samy Wu Fung (Trans. Mach. Learn. Res., 2024)

Mean-Field Control Barrier Functions: A Framework for Real-Time Swarm Control. - Samy Wu Fung; Levon Nurbekyan (ACC, 2025)

Kernel Expansions for High-Dimensional Mean-Field Control with Non-local Interactions. - Alexander Vidal; Samy Wu Fung; Stanley J. Osher; Luis Tenorio; Levon Nurbekyan (ACC, 2025)

Recent Advances in Numerical Solutions for Hamilton-Jacobi PDEs. - Tingwei Meng; Siting Liu 003; Samy Wu Fung; Stanley J. Osher (CoRR, 2025)

Thinking Out of the Box: Hybrid SAT Solving by Unconstrained Continuous Optimization. - Zhiwei Zhang 001; Samy Wu Fung; Anastasios Kyrillidis; Stanley J. Osher; Moshe Y. Vardi (CoRR, 2025)

A primal-dual price-optimization method for computing equilibrium prices in mean-field games models. - Xu Wang; Samy Wu Fung; Levon Nurbekyan (CoRR, 2025)