Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
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Last updated 31 maio 2024
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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