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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 176–200 of 347 papers

TitleStatusHype
Operator Learning: Algorithms and Analysis—0
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization—0
Diffeomorphism Neural Operator for various domains and parameters of partial differential equationsCode1
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse ProblemsCode0
Parametric Learning of Time-Advancement Operators for Unstable Flame Evolution—0
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs—0
Sobolev Training for Operator Learning—0
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids—0
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains—0
An operator learning perspective on parameter-to-observable mapsCode1
Learning Operators with Stochastic Gradient Descent in General Hilbert Spaces—0
Functional SDE approximation inspired by a deep operator network architecture—0
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction—0
Operator learning without the adjointCode0
Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations—0
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning—0
Equivariant Graph Neural Operator for Modeling 3D DynamicsCode2
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation LawsCode2
Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations—0
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows—0
Operator learning for hyperbolic partial differential equations—0
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork—0
A Mathematical Guide to Operator Learning—0
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations—0
GIT-Net: Generalized Integral Transform for Operator LearningCode0
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