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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 301–347 of 347 papers

TitleStatusHype
On the Benefits of Active Data Collection in Operator LearningCode0
Loss Terms and Operator Forms of Koopman AutoencodersCode0
On the limits of neural network explainability via descramblingCode0
On the influence of over-parameterization in manifold based surrogates and deep neural operatorsCode0
Diffeomorphically Learning Stable Koopman OperatorsCode0
ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian SensorsCode0
DPHGNN: A Dual Perspective Hypergraph Neural NetworksCode0
DFU: scale-robust diffusion model for zero-shot super-resolution image generationCode0
Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation ModelCode0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC DesignCode0
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential EquationsCode0
In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator LearningCode0
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT ReconstructionCode0
Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time GeneralizationCode0
Some Best Practices in Operator LearningCode0
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equationsCode0
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation MeasurementsCode0
Convolutional Analysis Operator Learning: Dependence on Training DataCode0
GIT-Net: Generalized Integral Transform for Operator LearningCode0
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
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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