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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 101–125 of 347 papers

TitleStatusHype
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equationsCode0
Neural Operators for PDE Backstepping Control of First-Order Hyperbolic PIDE with Recycle and DelayCode0
DFU: scale-robust diffusion model for zero-shot super-resolution image generationCode0
Leray-Schauder Mappings for Operator LearningCode0
Learning Where to Learn: Training Distribution Selection for Provable OOD PerformanceCode0
LeMON: Learning to Learn Multi-Operator NetworksCode0
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström methodCode0
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator LearningCode0
Loss Terms and Operator Forms of Koopman AutoencodersCode0
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEsCode0
Interpreting and generalizing deep learning in physics-based problems with functional linear modelsCode0
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric spaceCode0
DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC DesignCode0
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse ProblemsCode0
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation MeasurementsCode0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
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
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific SimulationsCode0
GIT-Net: Generalized Integral Transform for Operator LearningCode0
Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation ModelCode0
Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular DynamicsCode0
Diffeomorphically Learning Stable Koopman OperatorsCode0
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator LearningCode0
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