Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks

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Publication Details

Journal
SciPost Physics
Published
2025-04-02
DOI
https://doi.org/10.21468/scipostphys.18.4.118
Citations
6
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
14.89

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article

Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks

Francesco Zamponi, Enrico M. Malatesta, Brandon Livio Annesi
6 citations
SciPost Physics
Neural Networks and Applications
14.89
article

Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks

Francesco Zamponi, Enrico M. Malatesta, Brandon Livio Annesi
article en
6 citations

Abstract

No abstract available for this paper.
SciPost PhysicsVol. 18(4)
Bocconi University (IT), Sapienza University of Rome (IT)
Ministero dell'Università e della Ricerca
Openalex Percentile: Top 1%
Neural Networks and Applications
14.89
DOIOpen Access PDFOpenAlex
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Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks — Francesco Zamponi, Enrico M. Malatesta, et al. · SciPost Physics (2025) | TGRS Research Map | TGRS