Samy Wu Fung

According to our database, Samy Wu Fung authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Generalization Bound for a Family of Implicit Networks.

Samy Wu Fung, Benjamin Berkels

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 hybrid SIAC - data-driven post-processing filter for discontinuities in solutions to numerical PDEs.

Soraya Terrab, Samy Wu Fung, Jennifer K. Ryan

CoRR, 2024

Fast Partial Fourier Transforms for Large-Scale Ptychography.

Ricardo Parada, Samy Wu Fung, Stanley J. Osher

CoRR, 2024

2023

A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding.

Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto

IEEE Trans. Control. Syst. Technol., 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 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

Faster Predict-and-Optimize with Three-Operator Splitting.

Daniel McKenzie, Samy Wu Fung, Howard Heaton

CoRR, 2023

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

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

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

Random features for high-dimensional nonlocal mean-field games.

Sudhanshu Agrawal, Wonjun Lee, Samy Wu Fung, Levon Nurbekyan

J. Comput. Phys., 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

Explainable AI via Learning to Optimize.

Howard Heaton, Samy Wu Fung

CoRR, 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, Levon Nurbekyan, Stanley J. Osher

CoRR, 2022

JFB: Jacobian-Free Backpropagation for Implicit Networks.

Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Adaptive Uncertainty-Weighted ADMM for Distributed Optimization.

Jianping Ye, Caleb Wan, Samy Wu Fung

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

Feasibility-based Fixed Point Networks.

Howard Heaton, Samy Wu Fung, Aviv Gibali, Wotao Yin

CoRR, 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

A Neural Network Approach Applied to Multi-Agent Optimal Control.

Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto

Proceedings of the 2021 European Control Conference, 2021

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport.

Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval.

Samy Wu Fung, Zichao Wendy Di

SIAM J. Imaging Sci., 2020

Projecting to Manifolds via Unsupervised Learning.

Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin

CoRR, 2020

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

2019

An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation.

Samy Wu Fung, Lars Ruthotto

SIAM J. Sci. Comput., 2019

A multiscale method for model order reduction in PDE parameter estimation.

Samy Wu Fung, Lars Ruthotto

J. Comput. Appl. Math., 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

Large-Scale Classification using Multinomial Regression and ADMM.

Samy Wu Fung, Sanna Tyrväinen, Lars Ruthotto, Eldad Haber

CoRR, 2019