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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 251–260 of 347 papers

TitleStatusHype
Mondrian: Transformer Operators via Domain Decomposition—0
MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems—0
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems—0
Multi-fidelity wavelet neural operator with application to uncertainty quantification—0
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs—0
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows—0
Multi-Level Monte Carlo Training of Neural Operators—0
Multi-Physics Simulations via Coupled Fourier Neural Operator—0
Multiscale Attention via Wavelet Neural Operators for Vision Transformers—0
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers—0
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