Divergence-based Mutual Information
Divergence-Based Mutual Information is a mutual information measure defined as the Kullback-Leibler divergence between the joint distribution of two random variables and the product of their marginal distributions, quantifying the statistical dependence between them.
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2017–2026
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Information Theoretical Estimators Toolbox
Zoltán Szabó · arXiv (Cornell University) · 2014 · 104 citations · Full text
Daniel P. Palomar, Sergio Verdú · IEEE Transactions on Information Theory · 2008 · 54 citations
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Princeton University
Princeton, United States
2 h-index
4 publications
222 citations
Technion – Israel Institute of Technology
Haifa, Israel
1 h-index
1 publications
14 citations

University of Mississippi
Oxford, United States
1 h-index
2 publications
28 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
3 publications
249 citations

UCLA Medical Center
Santa Monica, United States
1 h-index
1 publications
17 citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
1 h-index
3 publications
39 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
3 publications
39 citations
GIPSA-Lab
Grenoble, France
1 h-index
3 publications
39 citations
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3 publications · 103 citations
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Repository · 2 publications · 117 citations
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