Optimal Approximation with Sparsely Connected Deep Neural Networks-Reference-Cited by-同舟云学术

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Optimal Approximation with Sparsely Connected Deep Neural Networks

Published:2019-01 Issue:1 Volume:1 Page:8-45
ISSN:2577-0187
Container-title:SIAM Journal on Mathematics of Data Science
language:en
Short-container-title:SIAM Journal on Mathematics of Data Science

Author:

Bölcskei Helmut^ORCID,Grohs Philipp,Kutyniok Gitta,Petersen Philipp

Funder

Einstein Center for Mathematics Berlin

Deutsche Forschungsgemeinschaft

Einstein Stiftung Berlin

European Commission

Stanford University

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Link

https://epubs.siam.org/doi/pdf/10.1137/18M118709X

Reference46 articles.

1. Universal approximation bounds for superpositions of a sigmoidal function

2. Ridgelets and the Representation of Mutilated Sobolev Functions

3. New tight frames of curvelets and optimal representations of objects with piecewiseC2singularities

4. Neural networks for localized approximation

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