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Scientific Reports
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June 21, 2023
Explainable AI via learning to optimize
Howard Heaton, Samy Wu Fung
Proceedings of the National Academy of Sciences of the United States of America
|
March 29, 2023
A Hamilton-Jacobi-based proximal operator
Stanley Osher, Howard Heaton, Samy Wu Fung
Scientific Reports
|
March 19, 2023
Taming hyperparameter tuning in continuous normalizing flows using the JKO scheme
Alexander Vidal, Samy Wu Fung, Luis Tenorio, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
April 11, 2020
A machine learning framework for solving high-dimensional mean field game and mean field control problems
Lars Ruthotto, Stanley J Osher, Wuchen Li, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
July 31, 2021
Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games
Alex Tong Lin, Samy Wu Fung, Wuchen Li, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Scientific Reports
|
June 21, 2023
Explainable AI via learning to optimize
Howard Heaton, Samy Wu Fung
Proceedings of the National Academy of Sciences of the United States of America
|
March 29, 2023
A Hamilton-Jacobi-based proximal operator
Stanley Osher, Howard Heaton, Samy Wu Fung
Scientific Reports
|
March 19, 2023
Taming hyperparameter tuning in continuous normalizing flows using the JKO scheme
Alexander Vidal, Samy Wu Fung, Luis Tenorio, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
April 11, 2020
A machine learning framework for solving high-dimensional mean field game and mean field control problems
Lars Ruthotto, Stanley J Osher, Wuchen Li, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
July 31, 2021
Alternating the population and control neural networks to solve high-dimensional stochastic mean-field games
Alex Tong Lin, Samy Wu Fung, Wuchen Li, et al.
Page
of 1