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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 76–100 of 347 papers

TitleStatusHype
An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations—0
Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning—0
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition—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
Component Fourier Neural Operator for Singularly Perturbed Differential Equations—0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion—0
Analysis of Fast Structured Dictionary Learning—0
OmniFluids: Unified Physics Pre-trained Modeling of Fluid Dynamics—0
Analysis of Fast Alternating Minimization for Structured Dictionary Learning—0
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems—0
A Mathematical Guide to Operator Learning—0
DPA-WNO: A gray box model for a class of stochastic mechanics problem—0
Domain Adaptive Safety Filters via Deep Operator Learning—0
Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning—0
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators—0
Error-in-variables modelling for operator learning—0
Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)—0
Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification—0
Discretization Error of Fourier Neural Operators—0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
Dynamic Gaussian Graph Operator: Learning parametric partial differential equations in arbitrary discrete mechanics problems—0
Derivative-informed neural operator acceleration of geometric MCMC for infinite-dimensional Bayesian inverse problems—0
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains—0
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