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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 101–110 of 347 papers

TitleStatusHype
State-space models are accurate and efficient neural operators for dynamical systemsCode0
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid—0
LeMON: Learning to Learn Multi-Operator NetworksCode0
An Overview on Machine Learning Methods for Partial Differential Equations: from Physics Informed Neural Networks to Deep Operator Learning—0
Fredholm Integral Equations Neural Operator (FIE-NO) for Data-Driven Boundary Value Problems—0
Transfer Operator Learning with Fusion Frame—0
Total Uncertainty Quantification in Inverse PDE Solutions Obtained with Reduced-Order Deep Learning Surrogate Models—0
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators—0
Operator Learning Using Random Features: A Tool for Scientific ComputingCode1
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem SolvingCode0
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