Injectivity of ReLU networks: Perspectives from statistical physics

Authors

Ivan Dokmanić (ORCID: https://orcid.org/0000-0001-7132-5214)
Shuta Nakajima (ORCID: https://orcid.org/0000-0002-8479-8552)
Afonso S. Bandeira (ORCID: https://orcid.org/0000-0002-7331-7557)
Antoine Maillard (ORCID: https://orcid.org/0000-0002-1078-4553)
David Belius (ORCID: https://orcid.org/0000-0003-3706-043X)

Publication Details

Journal: Applied and Computational Harmonic Analysis
Published: 2024-12-03
DOI: https://doi.org/10.1016/j.acha.2024.101736
Citations: 3
Primary Topic: Theoretical and Computational Physics
Type: article
Field-Weighted Citation Impact: 0.93

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article

Injectivity of ReLU networks: Perspectives from statistical physics

Ivan Dokmanić, Shuta Nakajima, Afonso S. Bandeira, Antoine Maillard et al.

Dec 3, 2024

3 citations

Applied and Computational Harmonic Analysis

Theoretical and Computational Physics

0.93

article

Injectivity of ReLU networks: Perspectives from statistical physics

Ivan Dokmanić, Shuta Nakajima, Afonso S. Bandeira, Antoine Maillard, David Belius

December 3, 2024article en

3 citations

Abstract

No abstract available for this paper.

Applied and Computational Harmonic AnalysisVol. 76

Openalex Percentile: Top 25%

Theoretical and Computational Physics

0.93

DOI Open Access PDF OpenAlex

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Injectivity of ReLU networks: Perspectives from statistical physics — Ivan Dokmanić, Shuta Nakajima, et al. · Applied and Computational Harmonic Analysis (2024) | TGRS Research Map | TGRS