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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 201–225 of 347 papers

TitleStatusHype
Local monotone operator learning using non-monotone operators: MnM-MOL—0
DFU: scale-robust diffusion model for zero-shot super-resolution image generationCode0
Data-efficient operator learning for solving high Mach number fluid flow problems—0
Deciphering and integrating invariants for neural operator learning with various physical mechanismsCode1
Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization MethodsCode1
Equivariant Neural Operator Learning with Graphon ConvolutionCode1
A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients—0
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific SimulationsCode0
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator LearningCode0
Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows—0
Operator Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Characterized by Sharp Solutions—0
A foundational neural operator that continuously learns without forgetting—0
Adaptive operator learning for infinite-dimensional Bayesian inverse problems—0
Improved Operator Learning by Orthogonal AttentionCode1
MgNO: Efficient Parameterization of Linear Operators via Multigrid—0
Learning to Predict Structural VibrationsCode1
Waveformer for modelling dynamical systems—0
Spectral operator learning for parametric PDEs without data reliance—0
Operator Learning Meets Numerical Analysis: Improving Neural Networks through Iterative Methods—0
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs—0
Multi-Resolution Active Learning of Fourier Neural OperatorsCode0
DPA-WNO: A gray box model for a class of stochastic mechanics problem—0
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation—0
Scattering with Neural Operators—0
Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning—0
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