On the Kozachenko–Leonenko entropy estimator
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The KoLeo regularizer encourages a uniform span of the features within a batch.
“The KoLeo regularizer derives from the Kozachenko-Leonenko differential entropy estimator (see Beirlant et al. (1997); Delattre & Fournier (2017)) and encourages a uniform span of the features within a batch.”
From DINOv2: Learning Robust Visual Features without Supervision (2023) · cites this paper as Delattre & Fournier (2017)
The KoLeo regularizer derives from the Kozachenko-Leonenko differential entropy estimator.
“The KoLeo regularizer derives from the Kozachenko-Leonenko differential entropy estimator (see Beirlant et al. (1997); Delattre & Fournier (2017)) and encourages a uniform span of the features within a batch.”
From DINOv2: Learning Robust Visual Features without Supervision (2023) · cites this paper as Delattre & Fournier (2017)
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DINOv2: Learning Robust Visual Features without Supervision
Oquab, M., Darcet, T., Moutakanni, T., Vo, H., Szafraniec, M., Khalidov, V., Fernandez, P., Haziza, D., Massa, F., El-Nouby, A., et al. (2023) · arXiv · doi:10.48550/arxiv.2304.07193 · Cited by 1,078 · see citing works
“The KoLeo regularizer derives from the Kozachenko-Leonenko differential entropy estimator (see Beirlant et al. (1997); Delattre & Fournier (2017)) and encourages a uniform span of the features within a batch.”
Method
- Authors
- Delattre, S., & Fournier, N.
- Affiliations
- Laboratoire de Probabilités et Modèles Aléatoires (FR)
- Corresponding author
- Delattre, Sylvain
- Venue
- Journal of Statistical Planning and Inference
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 185
- Pages
- 69-93
- ISSN
- 0378-3758 (ISSN-L)
- OpenAlex
- W2963113682
- Cited by
- 50
- References
- 0
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 6 · 2020: 8 · 2019: 7 · 2018: 9 · 2017: 1
- FWCI
- 4.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Statistical Planning and Inference (publishedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Keywords
- entropy estimation, bias assessment, analysis of variance, central limit theorem, root-n consistency, Richardson extrapolation, asymptotic confidence intervals, multivariate density estimation, kernel density estimation
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