Alex Tong Lin

According to our database, Alex Tong Lin authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning.

Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan

CoRR, 2024

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

Multi-Agent Shape Control with Optimal Transport.

Alex Tong Lin, Stanley J. Osher

CoRR, 2022

Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators.

Alex Tong Lin, Daniel Eckhardt, Robert Scott Martin, Stanley J. Osher, Adrian S. Wong

CoRR, 2022

2021

Decentralized Multi-Agents by Imitation of a Centralized Controller.

Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Guido Montúfar, Stanley J. Osher

Proceedings of the Mathematical and Scientific Machine Learning, 2021

Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach.

Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor

Proceedings of the ICC 2021, 2021

Wasserstein Proximal of GANs.

Alex Tong Lin, Wuchen Li, Stanley J. Osher, Guido Montúfar

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

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

Wasserstein Diffusion Tikhonov Regularization.

Alex Tong Lin, Yonatan Dukler, Wuchen Li, Guido Montúfar

CoRR, 2019

CESMA: Centralized Expert Supervises Multi-Agents.

Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary A. Hewer, Stanley J. Osher

CoRR, 2019

Wasserstein of Wasserstein Loss for Learning Generative Models.

Yonatan Dukler, Wuchen Li, Alex Tong Lin, Guido Montúfar

Proceedings of the 36th International Conference on Machine Learning, 2019

Affine Natural Proximal Learning.

Wuchen Li, Alex Tong Lin, Guido Montúfar

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2018

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization.

Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher

CoRR, 2018

Laplacian Smoothing Gradient Descent.

Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin

CoRR, 2018