Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
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Last updated 28 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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