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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 11–20 of 347 papers

TitleStatusHype
Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time GeneralizationCode0
Neural Functional: Learning Function to Scalar Maps for Neural PDE SurrogatesCode0
Multi-Level Monte Carlo Training of Neural Operators—0
Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers—0
Learning cardiac activation and repolarization times with operator learning—0
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures—0
SetONet: A Deep Set-based Operator Network for Solving PDEs with permutation invariant variable input sampling—0
Data-driven operator learning for energy-efficient building control—0
A Hybrid Framework for Efficient Koopman Operator Learning—0
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representationsCode0
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