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Operator learning

Learn an operator between infinite dimensional Hilbert spaces or Banach spaces

Papers

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Showing 141–150 of 347 papers

TitleStatusHype
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
Scientific Machine Learning Seismology—0
In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator LearningCode0
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics—0
Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation ModelCode0
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition—0
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