A deep network construction that adapts to intrinsic dimensionality beyond the domain

Author:

Cloninger Alexander,Klock TimoORCID

Funder

Russell Sage Foundation

NSF DMS

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference68 articles.

1. Random projections of smooth manifolds;Baraniuk;Foundations of Computational Mathematics,2009

2. Universal approximation bounds for superpositions of a sigmoidal function;Barron;IEEE Transactions on Information Theory,1993

3. Approximation and estimation bounds for artificial neural networks;Barron;Machine Learning,1994

4. On deep learning as a remedy for the curse of dimensionality in nonparametric regression;Bauer;The Annals of Statistics,2019

5. Local polynomial regression on unknown manifolds;Bickel,2007

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