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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 201–210 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
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