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Proceedings. Mathematical, Physical, and Engineering Sciences
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August 25, 2020
Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks
Ameya D Jagtap, Kenji Kawaguchi, George Em Karniadakis
Neural Networks : the Official Journal of the International Neural Network Society
|
March 19, 2026
An approximation theory perspective on machine learning
Hrushikesh N Mhaskar, Efstratios Tsoukanis, Ameya D Jagtap
Neural Networks : the Official Journal of the International Neural Network Society
|
January 17, 2026
On scientific foundation models: Rigorous definitions, key applications, and a comprehensive survey
Sidharth S Menon, Trishit Mondal, Shuvayan Brahmachary, et al.
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Search research articles
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Showing results (1-10 of 3) with videos related to
Sort By:
Page
of 1
Proceedings. Mathematical, Physical, and Engineering Sciences
|
August 25, 2020
Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks
Ameya D Jagtap, Kenji Kawaguchi, George Em Karniadakis
Neural Networks : the Official Journal of the International Neural Network Society
|
March 19, 2026
An approximation theory perspective on machine learning
Hrushikesh N Mhaskar, Efstratios Tsoukanis, Ameya D Jagtap
Neural Networks : the Official Journal of the International Neural Network Society
|
January 17, 2026
On scientific foundation models: Rigorous definitions, key applications, and a comprehensive survey
Sidharth S Menon, Trishit Mondal, Shuvayan Brahmachary, et al.
Page
of 1