Alex Tong Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Unsupervised Learning

Manifold Learning

Inverse Problems

Top Venues

Publications

Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan
MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning. CoRR (2024)
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 (2022)
Alex Tong Lin, Stanley J. Osher
Multi-Agent Shape Control with Optimal Transport. CoRR (2022)
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) (2022)
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)
Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
Wasserstein Proximal of GANs. GSI (2021)
Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar
Wasserstein Proximal of GANs. CoRR (2021)
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)
Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
Projecting to Manifolds via Unsupervised Learning. CoRR (2020)
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 (2020)
Yonatan Dukler, Wuchen Li, Alex Tong Lin, Guido Montúfar
Wasserstein of Wasserstein Loss for Learning Generative Models. ICML (2019)
Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Stanley J. Osher
CESMA: Centralized Expert Supervises Multi-Agents. CoRR (2019)
Wuchen Li, Alex Tong Lin, Guido Montúfar
Affine Natural Proximal Learning. GSI (2019)
Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montúfar
Wasserstein Diffusion Tikhonov Regularization. CoRR (2019)
Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin
Laplacian Smoothing Gradient Descent. CoRR (2018)
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 (2018)