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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 61–70 of 347 papers

TitleStatusHype
Deep Learning Computed Tomography based on the Defrise and Clack AlgorithmCode1
An operator learning perspective on parameter-to-observable mapsCode1
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEsCode1
Improved Operator Learning by Orthogonal AttentionCode1
An enrichment approach for enhancing the expressivity of neural operators with applications to seismologyCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator LearningCode1
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context LearningCode1
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training—0
Accelerating Part-Scale Simulation in Liquid Metal Jet Additive Manufacturing via Operator Learning—0
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