Publications associées à Stochastic Sampling for Computing the Mutual Information of Two Images

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Robust Generalization via $\alpha$-Mutual Information

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

The aim of this work is to provide bounds connecting two probability measures of the same event using Rényi

\alpha

-Divergences and Sibson’s

\alpha

-Mutual Information, a generalization of respectively the Kullback-Leibler Divergence and Shannon’s Mutual ...

ETHZ2020

Stochastic Sampling for Computing the Mutual Information of Two Images

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A Functional Perspective on Information Measures

Mutual information in changing environments: Nonlinear interactions, out-of-equilibrium systems, and continuously varying diffusivities

The Gray-Wyner Network and Wyner's Common Information for Gaussian Sources

Mutual Information Disentangles Interactions from Changing Environments

A Comparison of optimal measurement-system design with engineering judgement for bridge load testing

Robust Generalization via $\alpha$-Mutual Information

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Strengthened Information-theoretic Bounds on the Generalization Error

Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method

Entropy and mutual information in models of deep neural networks

Mutual information in changing environments: Nonlinear interactions, out-of-equilibrium systems, and continuously varying diffusivities

A Functional Perspective on Information Measures

The Gray-Wyner Network and Wyner's Common Information for Gaussian Sources

A Comparison of optimal measurement-system design with engineering judgement for bridge load testing

Mutual Information Disentangles Interactions from Changing Environments

Strengthened Information-theoretic Bounds on the Generalization Error

Robust Generalization via $\alpha$-Mutual Information

Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method

Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation

Entropy and mutual information in models of deep neural networks