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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 126–150 of 347 papers

TitleStatusHype
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström methodCode0
Nonlinear model reduction for operator learningCode0
Generic bounds on the approximation error for physics-informed (and) operator learning—0
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning—0
FUSE: Fast Unified Simulation and Estimation for PDEs—0
Functional SDE approximation inspired by a deep operator network architecture—0
Fredholm Integral Equations Neural Operator (FIE-NO) for Data-Driven Boundary Value Problems—0
Fourier-RNNs for Modelling Noisy Physics Data—0
Forecasting subcritical cylinder wakes with Fourier Neural Operators—0
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains—0
FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements—0
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition—0
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis—0
Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning—0
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators—0
Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning—0
Error-in-variables modelling for operator learning—0
Conformal Prediction on Quantifying Uncertainty of Dynamic Systems—0
An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations—0
A fast neural hybrid Newton solver adapted to implicit methods for nonlinear dynamics—0
Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning—0
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators—0
Nonparametric Sparse Online Learning of the Koopman Operator—0
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks—0
Analysis Operator Learning and Its Application to Image Reconstruction—0
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