Publications associées à Entropie de Shannon

Learning in Volatile Environments With the Bayes Factor Surprise

Wulfram Gerstner, Johanni Michael Brea, Alireza Modirshanechi, Vasiliki Liakoni

Surprise-based learning allows agents to rapidly adapt to nonstationary stochastic environments characterized by sudden changes. We show that exact Bayesian inference in a hierarchical model gives rise to a surprise-modulated trade-off between forgetting o ...

MIT PRESS2021

Differential Entropy of the Conditional Expectation under Gaussian Noise

Michael Christoph Gastpar, Alper Köse, Ahmet Arda Atalik

This paper considers an additive Gaussian noise channel with arbitrarily distributed finite variance input signals. It studies the differential entropy of the minimum mean-square error (MMSE) estimator and provides a new lower bound which connects the diff ...

IEEE2021

Towards Interactions Through Differentiable-Non-Differentiable Scale Transitions In Scale Relativity Theory

Maria-Alexandra Paun

It is shown that, in the framework of Scale Relativity Theory, correlations of type informational entropy/cross entropy - probability density, in the description of the dynamics of any complex system, can be perceived as interactions. Explaining these inte ...

UNIV POLITEHNICA BUCHAREST, SCI BULL2021

Common Information Components Analysis

Michael Christoph Gastpar, Erixhen Sula

Wyner's common information is a measure that quantifies and assesses the commonality between two random variables. Based on this, we introduce a novel two-step procedure to construct features from data, referred to as Common Information Components Analysis ...

MDPI2021

State selective cooling of SU(N) Fermi gases

Frédéric Mila, Miklos Lajko

We investigate a species selective cooling process of a trapped SU(N) Fermi gas using entropy redistribution during adiabatic loading of an optical lattice. Using high-temperature expansion of the Hubbard model, we show that when a subset N-A < N of the si ...

AMER PHYSICAL SOC2021

Halo Mass-concentration Relation at the High-mass End

Jean-Paul Richard Kneib, Huanyuan Shan, Ginevra Favole

The concentration-mass (c-M) relation encodes key information about the assembly history of dark matter halos. However, its behavior at the high mass end has not been measured precisely in observations yet. In this paper, we report the measurement of the h ...

IOP Publishing Ltd2021

Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

Subrahmanya Pavankumar Dubagunta

Speech signal conveys several kinds of information such as a message, speaker identity, emotional state of the speaker and social state of the speaker. Automatic speech assessment is a broad area that refers to using automatic methods to predict human judg ...

EPFL2021

Deep visual Re-identification with confidence

Alexandre Massoud Alahi, Sven Kreiss, George Adaimi

Transportation systems often rely on understanding the flow of vehicles or pedestrian. From traffic monitoring at the city scale, to commuters in train terminals, recent progress in sensing technology make it possible to use cameras to better understand th ...

2021

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Entropie de Shannon

Learning in Volatile Environments With the Bayes Factor Surprise

Differential Entropy of the Conditional Expectation under Gaussian Noise

Towards Interactions Through Differentiable-Non-Differentiable Scale Transitions In Scale Relativity Theory

Common Information Components Analysis

State selective cooling of SU(N) Fermi gases

Halo Mass-concentration Relation at the High-mass End

Feedback and Common Information: Bounds and Capacity for Gaussian Networks

Shannon entropy and degree of polarization of a speckle pattern

Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

Deep visual Re-identification with confidence

Graph Chatbot

Chattez avec Graph Search

Differential Entropy of the Conditional Expectation under Gaussian Noise

Common Information Components Analysis

Feedback and Common Information: Bounds and Capacity for Gaussian Networks

Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

Deep visual Re-identification with confidence

Shannon entropy and degree of polarization of a speckle pattern

Halo Mass-concentration Relation at the High-mass End

Towards Interactions Through Differentiable-Non-Differentiable Scale Transitions In Scale Relativity Theory

Learning in Volatile Environments With the Bayes Factor Surprise

State selective cooling of SU(N) Fermi gases