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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 331–340 of 347 papers

TitleStatusHype
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training—0
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains—0
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators—0
Error-in-variables modelling for operator learning—0
Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning—0
DeepONet Augmented by Randomized Neural Networks for Efficient Operator Learning in PDEs—0
Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning—0
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning—0
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition—0
DeepOFormer: Deep Operator Learning with Domain-informed Features for Fatigue Life Prediction—0
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