Neural Estimator of Information for Time-Series Data with Dependency

Novel approaches to estimate information measures using neural networks are well-celebrated in recent years both in the information theory and machine learning communities. These neural-based estimators are shown to converge to the true values when estimating mutual information and conditional mutua...

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Bibliographic Details
Main Authors: Sina Molavipour, Hamid Ghourchian, Germán Bassi, Mikael Skoglund
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/23/6/641