Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
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Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
SVD perspectives for augmenting DeepONet flexibility and interpretability - ScienceDirect
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators - University of Wales Trinity Saint David
PDF) DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators
PDF) Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators.
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Mathematics, Free Full-Text
A seamless multiscale operator neural network for inferring bubble dynamics, Journal of Fluid Mechanics
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