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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 51–60 of 347 papers

TitleStatusHype
An enrichment approach for enhancing the expressivity of neural operators with applications to seismologyCode1
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEsCode1
Operator Learning with Neural Fields: Tackling PDEs on General GeometriesCode1
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformationsCode1
Guiding continuous operator learning through Physics-based boundary constraintsCode1
Improved architectures and training algorithms for deep operator networksCode1
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context LearningCode1
Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load ConditionsCode1
Improved Operator Learning by Orthogonal AttentionCode1
Kernel Methods are Competitive for Operator LearningCode1
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