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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 326–347 of 347 papers

TitleStatusHype
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
Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equationsCode0
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical SystemsCode0
Neural Operator Learning for Ultrasound Tomography InversionCode0
Interpreting and generalizing deep learning in physics-based problems with functional linear modelsCode0
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEsCode0
Neural Operators for PDE Backstepping Control of First-Order Hyperbolic PIDE with Recycle and DelayCode0
State-space models are accurate and efficient neural operators for dynamical systemsCode0
EquiNO: A Physics-Informed Neural Operator for Multiscale SimulationsCode0
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEsCode0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
Convolutional Analysis Operator Learning: Acceleration and ConvergenceCode0
Adversarial Autoencoders in Operator LearningCode0
Infinite-dimensional Diffusion Bridge Simulation via Operator LearningCode0
Structure-Preserving Operator LearningCode0
Nonlinear model reduction for operator learningCode0
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem SolvingCode0
Super-Resolution Neural OperatorCode0
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