Quantitative CLTs in Deep Neural Networks

Favaro, Stefano; Hanin, Boris; Marinucci, Domenico; NOURDIN, Ivan; PECCATI, Giovanni

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Quantitative CLTs in Deep Neural Networks

Favaro, Stefano; Hanin, Boris; Marinucci, Domenico et al.

n.d.

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https://hdl.handle.net/10993/57773

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Disciplines :

Mathematics

Author, co-author :

Favaro, Stefano

Hanin, Boris

Marinucci, Domenico

NOURDIN, Ivan ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH)

PECCATI, Giovanni ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Mathematics (DMATH)

Language :

English

Title :

Quantitative CLTs in Deep Neural Networks

Publication date :

n.d.

Source :

https://arxiv.org/abs/2307.06092

Name of the research project :

U-AGR-7204 - OPEN/O22/17372844/FraMStA-UL part (01/09/2023 - 31/08/2027) - NOURDIN Ivan
U-AGR-7098 - O21/16236290/HDSA (01/09/2022 - 31/08/2025) - PECCATI Giovanni

Funders :

FNR - Fonds National de la Recherche

Funding text :

BH gratefully acknowledges support from NSF CAREER grant DMS-2143754 as well as NSF grants DMS-1855684, DMS-2133806 and an ONR MURI on Foundations of Deep Learning. DM is grateful to MUR projects MatModTov, Grafia and to PNRR/CN1 Spoke 3 for financial support. IN’s research is supported by the Luxembourg National Research Fund (Grant: O22/17372844/FraMStA). GP’s research is supported by the Lux- embourg National Research Fund (Grant: O21/16236290/HDSA)

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since 24 November 2023

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