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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 151–175 of 347 papers

TitleStatusHype
Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification—0
Component Fourier Neural Operator for Singularly Perturbed Differential Equations—0
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
Transfer Operator Learning with Fusion Frame—0
Total Uncertainty Quantification in Inverse PDE Solutions Obtained with Reduced-Order Deep Learning Surrogate Models—0
Fredholm Integral Equations Neural Operator (FIE-NO) for Data-Driven Boundary Value Problems—0
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators—0
Synergistic Learning with Multi-Task DeepONet for Efficient PDE Problem SolvingCode0
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification—0
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics SimulationsCode0
Solving the Electrical Impedance Tomography Problem with a DeepONet Type Neural Network: Theory and Application—0
HyperbolicLR: Epoch insensitive learning rate schedulerCode0
A Resolution Independent Neural Operator—0
Dilated convolution neural operator for multiscale partial differential equations—0
A fast neural hybrid Newton solver adapted to implicit methods for nonlinear dynamics—0
Green Multigrid Network—0
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning—0
Operator Learning of Lipschitz Operators: An Information-Theoretic Perspective—0
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone—0
Optimal deep learning of holomorphic operators between Banach spaces—0
Projection Methods for Operator Learning and Universal Approximation—0
Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning—0
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