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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 231–240 of 347 papers

TitleStatusHype
Interpreting and generalizing deep learning in physics-based problems with functional linear modelsCode0
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems—0
Koopman operator learning using invertible neural networks—0
The Parametric Complexity of Operator Learning—0
Operator Learning with Neural Fields: Tackling PDEs on General GeometriesCode1
Energy-Dissipative Evolutionary Deep Operator Neural Networks—0
An enrichment approach for enhancing the expressivity of neural operators with applications to seismologyCode1
Spherical Fourier Neural Operators: Learning Stable Dynamics on the SphereCode2
Globally injective and bijective neural operators—0
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression—0
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