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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 291–300 of 347 papers

TitleStatusHype
A Kernel Approach for PDE Discovery and Operator Learning—0
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities—0
Minimax Optimal Kernel Operator Learning via Multilevel Training—0
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator—0
Learning Efficient Abstract Planning Models that Choose What to PredictCode1
Multi-fidelity wavelet neural operator with application to uncertainty quantification—0
Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations—0
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers—0
opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation—0
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations—0
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