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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 31–40 of 347 papers

Title	Date	Tasks	Status	Hype	Score
DCEM: A deep complementary energy method for solid mechanics	Feb 3, 2023	Operator learning	CodeCode Available	1	5
GNOT: A General Neural Operator Transformer for Operator Learning	Feb 28, 2023	Operator learning	CodeCode Available	1	5
Fast PDE-constrained optimization via self-supervised operator learning	Oct 25, 2021	Operator learning	CodeCode Available	1	5
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries	Apr 3, 2025	DecoderMeta-Learning	CodeCode Available	1	5
Choose a Transformer: Fourier or Galerkin	May 31, 2021	Operator learning	CodeCode Available	1	5
Equivariant Neural Operator Learning with Graphon Convolution	Nov 17, 2023	Operator learning	CodeCode Available	1	5
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems	Dec 12, 2024	Operator learning	CodeCode Available	1	5
Continuum Attention for Neural Operators	Jun 10, 2024	Operator learning	CodeCode Available	1	5
Fast Sampling of Diffusion Models via Operator Learning	Nov 24, 2022	Operator learning	CodeCode Available	1	5
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning	Jun 12, 2025	Operator learning	CodeCode Available	1	5

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