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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 31–40 of 347 papers

TitleStatusHype
Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEsCode1
Deep Learning Computed Tomography based on the Defrise and Clack AlgorithmCode1
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary GeometriesCode1
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context LearningCode1
DCEM: A deep complementary energy method for solid mechanicsCode1
DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC DesignCode1
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problemsCode1
Deciphering and integrating invariants for neural operator learning with various physical mechanismsCode1
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
Choose a Transformer: Fourier or GalerkinCode1
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