Results 1 to 10 of about 1,885,677 (275)
Generalized Mutual Information [PDF]
Stats, 2020 Mutual information is one of the essential building blocks of information theory. It is however only finitely defined for distributions in a subclass of the general class of all distributions on a joint alphabet.
Zhiyi Zhang
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Lower Bounds on Mutual Information [PDF]
Physical Review E, 2010 We correct claims about lower bounds on mutual information (MI) between real-valued random variables made in A. Kraskov {\it et al.}, Phys. Rev. E {\bf 69}, 066138 (2004). We show that non-trivial lower bounds on MI in terms of linear correlations depend
David V. Foster +4 more
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Mutual information rate and bounds for it. [PDF]
PLoS ONE, 2012 The amount of information exchanged per unit of time between two nodes in a dynamical network or between two data sets is a powerful concept for analysing complex systems.
Murilo S Baptista +5 more
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Pathway analysis through mutual information. [PDF]
Bioinformatics, 2022 AbstractPathway analysis comes in many forms. Most are seeking to establish a connection between the activity of a certain biological pathway and a difference in phenotype, often relying on an upstream differential expression analysis to establish the difference between case and control.
Jeuken GS, Käll L.
europepmc +3 more sources
Mutual information bounded by Fisher information
Physical Review ResearchWe derive a general upper bound to mutual information in terms of the Fisher information. The bound may be further used to derive a lower bound for the Bayesian quadratic cost. These two provide alternatives to other inequalities in the literature (e.g.,
Wojciech Górecki +3 more
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Quadratic Mutual Information Feature Selection [PDF]
Entropy, 2017 We propose a novel feature selection method based on quadratic mutual information which has its roots in Cauchy–Schwarz divergence and Renyi entropy. The method uses the direct estimation of quadratic mutual information from data samples using Gaussian ...
Davor Sluga, Uroš Lotrič
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Mutual information maximizing quantum generative adversarial networks [PDF]
Scientific ReportsOne of the most promising applications in the era of Noisy Intermediate-Scale Quantum (NISQ) computing is quantum generative adversarial networks (QGANs), which offer significant quantum advantages over classical machine learning in various domains ...
Mingyu Lee +3 more
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Holographic mutual information of two disjoint spheres
Journal of High Energy Physics, 2018 We study quantum corrections to holographic mutual information for two disjoint spheres at a large separation by using the operator product expansion of the twist field.
Bin Chen +3 more
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Quantum mutual information in time
New Journal of PhysicsWhile the quantum mutual information is a fundamental measure of quantum information, it is only defined for spacelike separated quantum systems. Such a limitation is not present in the theory of classical information, where the mutual information ...
Zhen Wu +3 more
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Factorized mutual information maximization [PDF]
Kybernetika, 2020 We investigate the sets of joint probability distributions that maximize the average multi-information over a collection of margins. These functionals serve as proxies for maximizing the multi-information of a set of variables or the mutual information of two subsets of variables, at a lower computation and estimation complexity.
Merkh, Thomas, Montúfar, Guido
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