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ORCIDSamy Wu Fung
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2020 – today
- 2024
[i21]Ricardo Parada, Samy Wu Fung, Stanley J. Osher:
Fast Partial Fourier Transforms for Large-Scale Ptychography. CoRR abs/2408.03532 (2024)- [i20]Soraya Terrab, Samy Wu Fung, Jennifer K. Ryan:
A hybrid SIAC - data-driven post-processing filter for discontinuities in solutions to numerical PDEs. CoRR abs/2408.05193 (2024) - [i19]Brandon Knutson, Amandin Chyba Rabeendran, Michael I. Ivanitskiy, Jordan Pettyjohn, Cecilia G. Diniz Behn, Samy Wu Fung, Daniel McKenzie:
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks. CoRR abs/2410.03020 (2024) - [i18]Samy Wu Fung, Benjamin Berkels:
A Generalization Bound for a Family of Implicit Networks. CoRR abs/2410.07427 (2024) - 2023
- [j7]Derek Onken
, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto:
A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. IEEE Trans. Control. Syst. Technol. 31(1): 235-251 (2023) - [c4]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:
Linearly Structured World Representations in Maze-Solving Transformers. UniReps 2023: 133-143 - [i17]Daniel McKenzie, Samy Wu Fung, Howard Heaton:
Faster Predict-and-Optimize with Three-Operator Splitting. CoRR abs/2301.13395 (2023) - [i16]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:
A Configurable Library for Generating and Manipulating Maze Datasets. CoRR abs/2309.10498 (2023) - [i15]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:
Structured World Representations in Maze-Solving Transformers. CoRR abs/2312.02566 (2023) - 2022
- [j6]Sudhanshu Agrawal, Wonjun Lee, Samy Wu Fung, Levon Nurbekyan:
Random features for high-dimensional nonlocal mean-field games. J. Comput. Phys. 459: 111136 (2022) - [j5]Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin:
Wasserstein-Based Projections with Applications to Inverse Problems. SIAM J. Math. Data Sci. 4(2): 581-603 (2022) - [c3]Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin:
JFB: Jacobian-Free Backpropagation for Implicit Networks. AAAI 2022: 6648-6656 - [i14]Sudhanshu Agrawal, Wonjun Lee, Samy Wu Fung, Levon Nurbekyan:
Random Features for High-Dimensional Nonlocal Mean-Field Games. CoRR abs/2202.12529 (2022) - [i13]Yat Tin Chow, Samy Wu Fung, Siting Liu, Levon Nurbekyan, Stanley J. Osher:
A numerical algorithm for inverse problem from partial boundary measurement arising from mean field game problem. CoRR abs/2204.04851 (2022) - [i12]Howard Heaton, Samy Wu Fung:
Explainable AI via Learning to Optimize. CoRR abs/2204.14174 (2022) - [i11]Alexander Vidal, Samy Wu Fung, Luis Tenorio, Stanley J. Osher, Levon Nurbekyan:
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme. CoRR abs/2211.16757 (2022) - 2021
- [j4]Kelvin K. Kan, Samy Wu Fung, Lars Ruthotto:
PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization. SIAM J. Sci. Comput. 43(5): S704-S726 (2021) - [c2]Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto:
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. AAAI 2021: 9223-9232 - [c1]Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung, Stanley J. Osher, Lars Ruthotto:
A Neural Network Approach Applied to Multi-Agent Optimal Control. ECC 2021: 1036-1041 - [i10]Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin:
Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop. CoRR abs/2103.12803 (2021) - [i9]Howard Heaton, Samy Wu Fung, Aviv Gibali, Wotao Yin:
Feasibility-based Fixed Point Networks. CoRR abs/2104.14090 (2021) - [i8]Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin:
Learn to Predict Equilibria via Fixed Point Networks. CoRR abs/2106.00906 (2021) - [i7]Jianping Ye, Caleb Wan, Samy Wu Fung:
Adaptive Uncertainty-Weighted ADMM for Distributed Optimization. CoRR abs/2109.01089 (2021) - 2020
- [j3]Samy Wu Fung, Zichao Wendy Di:
Multigrid Optimization for Large-Scale Ptychographic Phase Retrieval. SIAM J. Imaging Sci. 13(1): 214-233 (2020) - [i6]Alex Tong Lin, Samy Wu Fung, Wuchen Li, Levon Nurbekyan, Stanley J. Osher:
APAC-Net: Alternating the Population and Agent Control via Two Neural Networks to Solve High-Dimensional Stochastic Mean Field Games. CoRR abs/2002.10113 (2020) - [i5]Kelvin K. Kan, Samy Wu Fung, Lars Ruthotto:
PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization. CoRR abs/2005.13639 (2020) - [i4]Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto:
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. CoRR abs/2006.00104 (2020) - [i3]Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin:
Projecting to Manifolds via Unsupervised Learning. CoRR abs/2008.02200 (2020)
2010 – 2019
- 2019
- [j2]Samy Wu Fung, Lars Ruthotto:
A multiscale method for model order reduction in PDE parameter estimation. J. Comput. Appl. Math. 350: 19-34 (2019) - [j1]Samy Wu Fung, Lars Ruthotto:
An Uncertainty-Weighted Asynchronous ADMM Method for Parallel PDE Parameter Estimation. SIAM J. Sci. Comput. 41(5): S129-S148 (2019) - [i2]Samy Wu Fung, Sanna Tyrväinen, Lars Ruthotto, Eldad Haber:
Large-Scale Classification using Multinomial Regression and ADMM. CoRR abs/1901.09450 (2019) - [i1]Lars Ruthotto, Stanley J. Osher, Wuchen Li, Levon Nurbekyan, Samy Wu Fung:
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. CoRR abs/1912.01825 (2019)
Coauthor Index
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