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2020 – today
- 2024
[j3]Yuhan Kang
, Samira Zare, Alex Tong Lin, Zhu Han, Stanley J. Osher, Hien Van Nguyen:
Game Theory Meets Data Augmentation. IEEE Trans. Artif. Intell. 5(12): 6080-6094 (2024)- [i10]Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan:
MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning. CoRR abs/2406.02778 (2024) - 2022
- [j2]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) - [j1]Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor:
Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets. IEEE Trans. Netw. Sci. Eng. 9(4): 2734-2746 (2022) - [i9]Alex Tong Lin, Daniel Eckhardt, Robert Scott Martin, Stanley J. Osher, Adrian S. Wong:
Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators. CoRR abs/2203.06269 (2022) - [i8]Alex Tong Lin, Stanley J. Osher:
Multi-Agent Shape Control with Optimal Transport. CoRR abs/2207.00129 (2022) - 2021
- [c5]Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar:
Wasserstein Proximal of GANs. GSI 2021: 524-533 - [c4]Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor:
Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach. ICC 2021: 1-6 - [c3]Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Guido Montúfar, Stanley J. Osher:
Decentralized Multi-Agents by Imitation of a Centralized Controller. MSML 2021: 619-651 - [i7]Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar:
Wasserstein Proximal of GANs. CoRR abs/2102.06862 (2021) - 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]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
- [c2]Wuchen Li, Alex Tong Lin, Guido Montúfar:
Affine Natural Proximal Learning. GSI 2019: 705-714 - [c1]Yonatan Dukler, Wuchen Li, Alex Tong Lin, Guido Montúfar:
Wasserstein of Wasserstein Loss for Learning Generative Models. ICML 2019: 1716-1725 - [i4]Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Stanley J. Osher:
CESMA: Centralized Expert Supervises Multi-Agents. CoRR abs/1902.02311 (2019) - [i3]Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montúfar:
Wasserstein Diffusion Tikhonov Regularization. CoRR abs/1909.06860 (2019) - 2018
- [i2]Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin:
Laplacian Smoothing Gradient Descent. CoRR abs/1806.06317 (2018) - [i1]Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher:
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR abs/1809.08516 (2018)
Coauthor Index
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