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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 141–150 of 347 papers

TitleStatusHype
Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution—0
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training—0
DeepONet Augmented by Randomized Neural Networks for Efficient Operator Learning in PDEs—0
Approximation Rates in Fréchet Metrics: Barron Spaces, Paley-Wiener Spaces, and Fourier Multipliers—0
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning—0
A Hybrid Kernel-Free Boundary Integral Method with Operator Learning for Solving Parametric Partial Differential Equations In Complex Domains—0
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone—0
Improved Model based Deep Learning using Monotone Operator Learning (MOL)—0
DeepOFormer: Deep Operator Learning with Domain-informed Features for Fatigue Life Prediction—0
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs—0
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