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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 81–90 of 347 papers

TitleStatusHype
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space—0
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators—0
Super Resolution Based on Deep Operator Networks—0
DimOL: Dimensional Awareness as A New 'Dimension' in Operator Learning—0
Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers—0
DeepONet for Solving Nonlinear Partial Differential Equations with Physics-Informed Training—0
Leray-Schauder Mappings for Operator LearningCode0
Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study—0
Structure-Preserving Operator LearningCode0
Basis-to-Basis Operator Learning Using Function EncodersCode1
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