Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Por um escritor misterioso
Last updated 31 março 2025


Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Lecture Notes in Deep Learning: Known Operator Learning - Part 2 - Pattern Recognition Lab

Generalizing universal function approximators

DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

PDF] MIONet: Learning multiple-input operators via tensor product

Operator Learning via Physics-Informed DeepONet: Let's Implement It From Scratch, by Shuai Guo

VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification - ScienceDirect

Operator Learning via Physics-Informed DeepONet: Let's Implement It From Scratch, by Shuai Guo

PDF) Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

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