Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces
Crossref DOI link: https://doi.org/10.1007/s10208-023-09607-w
Published Online: 2023-07-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Grohs, Philipp
Voigtlaender, Felix
Funding for this research was provided by:
University of Vienna
Text and Data Mining valid from 2023-07-12
Version of Record valid from 2023-07-12
Article History
Received: 29 October 2021
Revised: 15 September 2022
Accepted: 26 September 2022
First Online: 12 July 2023