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arXiv Machine Learning By Philipp Schmocker, Josef Teichmann

Weighted universal approximation of differentiable maps on infinite-dimensional manifolds

Read the original on arXiv Machine Learning →

arXiv:2606. 09820v1 Announce Type: cross Abstract: We generalize the universal approximation theorem for functional input neural networks (FNN) to differentiable maps by including the approximation of the derivatives.

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