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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 121–130 of 347 papers

TitleStatusHype
Fredholm Integral Equations Neural Operator (FIE-NO) for Data-Driven Boundary Value Problems—0
Functional SDE approximation inspired by a deep operator network architecture—0
DimOL: Dimensional Awareness as A New 'Dimension' in Operator Learning—0
Dimension reduction for derivative-informed operator learning: An analysis of approximation errors—0
Beyond Accuracy: EcoL2 Metric for Sustainable Neural PDE Solvers—0
Dilated convolution neural operator for multiscale partial differential equations—0
Bayesian Inversion with Neural Operator (BINO) for Modeling Subdiffusion: Forward and Inverse Problems—0
Adaptive operator learning for infinite-dimensional Bayesian inverse problems—0
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification—0
Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations—0
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