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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 231–240 of 347 papers

TitleStatusHype
Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study—0
New universal operator approximation theorem for encoder-decoder architectures (Preprint)—0
NOMAD: Nonlinear Manifold Decoders for Operator Learning—0
Uncertainty quantification for deeponets with ensemble kalman inversion—0
Nonlinear Operator Learning Using Energy Minimization and MLPs—0
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities—0
Nonparametric Control Koopman Operators—0
Approximation Rates in Fréchet Metrics: Barron Spaces, Paley-Wiener Spaces, and Fourier Multipliers—0
On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators—0
One-shot learning for solution operators of partial differential equations—0
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