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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 321–330 of 347 papers

TitleStatusHype
Multi-Resolution Active Learning of Fourier Neural OperatorsCode0
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applicationsCode0
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representationsCode0
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse ProblemsCode0
Operator learning without the adjointCode0
Cauchy Random Features for Operator Learning in Sobolev SpaceCode0
Neural Functional: Learning Function to Scalar Maps for Neural PDE SurrogatesCode0
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric spaceCode0
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural NetworksCode0
BiLO: Bilevel Local Operator Learning for PDE inverse problemsCode0
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