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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)Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs., , , , , , and . J. Mach. Learn. Res., (2023)Multipole Graph Neural Operator for Parametric Partial Differential Equations., , , , , , and . NeurIPS, (2020)Continuous Time Analysis of Momentum Methods., and . J. Mach. Learn. Res., (2021)Neural Operator: Learning Maps Between Function Spaces., , , , , , and . CoRR, (2021)Conditional Sampling With Monotone GANs., , , and . CoRR, (2020)On universal approximation and error bounds for Fourier Neural Operators., , and . CoRR, (2021)Convergence Rates for Learning Linear Operators from Noisy Data., , , and . SIAM/ASA J. Uncertain. Quantification, 11 (2): 480-513 (June 2023)