Samy Wu Fung

Orcid: 0000-0002-2926-4582

According to our database1, Samy Wu Fung authored at least 24 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding.
IEEE Trans. Control. Syst. Technol., 2023

Structured World Representations in Maze-Solving Transformers.
CoRR, 2023

A Configurable Library for Generating and Manipulating Maze Datasets.
CoRR, 2023

Faster Predict-and-Optimize with Three-Operator Splitting.
CoRR, 2023

2022
Wasserstein-Based Projections with Applications to Inverse Problems.
SIAM J. Math. Data Sci., 2022

Random features for high-dimensional nonlocal mean-field games.
J. Comput. Phys., 2022

Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme.
CoRR, 2022

Explainable AI via Learning to Optimize.
CoRR, 2022

A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem.
CoRR, 2022

JFB: Jacobian-Free Backpropagation for Implicit Networks.
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.
SIAM J. Sci. Comput., 2021

Adaptive Uncertainty-Weighted ADMM for Distributed Optimization.
CoRR, 2021

Learn to Predict Equilibria via Fixed Point Networks.
CoRR, 2021

Feasibility-based Fixed Point Networks.
CoRR, 2021

Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop.
CoRR, 2021

A Neural Network Approach Applied to Multi-Agent Optimal Control.
Proceedings of the 2021 European Control Conference, 2021

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval.
SIAM J. Imaging Sci., 2020

Projecting to Manifolds via Unsupervised Learning.
CoRR, 2020

APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games.
CoRR, 2020

2019
An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation.
SIAM J. Sci. Comput., 2019

A multiscale method for model order reduction in PDE parameter estimation.
J. Comput. Appl. Math., 2019

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems.
CoRR, 2019

Large-Scale Classification using Multinomial Regression and ADMM.
CoRR, 2019


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