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Fourier Neural Operator for Parametric Partial Differential Equations, , , , , , and . (2020)cite arxiv:2010.08895.Neural Operator: Graph Kernel Network for Partial Differential Equations, , , , , , and . (2020)cite arxiv:2003.03485.Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs., , , , , , and . J. Mach. Learn. Res., (2023)Physics-Informed Neural Operator for Learning Partial Differential Equations., , , , , , , and . CoRR, (2021)Neural Operators for Accelerating Scientific Simulations and Design., , , , , and . CoRR, (2023)Model Reduction and Neural Networks for Parametric PDEs., , , and . CoRR, (2020)Multipole Graph Neural Operator for Parametric Partial Differential Equations., , , , , , and . NeurIPS, (2020)Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning., , , and . CoRR, (2019)Convergence Rates for Learning Linear Operators from Noisy Data., , , and . CoRR, (2021)An Approximation Theory Framework for Measure-Transport Sampling Algorithms., , , , and . CoRR, (2023)