Theory and Application of the Information Bottleneck Method

doi:10.3390/books978-3-7258-0461-0

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Keywords

distributed compression; chief executive officer problem; cooperating sensors; distributed source coding; information bottleneck; information bottleneck; mutual information; machine learning; clustering; information bottleneck; sequential algorithm; information bottleneck; optimization; annealing; gradient flow; bifurcations; symmetry; information bottleneck; lossy compression; remote source coding; biclustering; LDPC code; decoding; finite alphabet message passing; information bottleneck; implementation efficiency; out-of-distribution generalization; information bottleneck; causal learning; distributed learning; AI at the edge; inference over graphs; deep learning; information theory; information bottleneck; generalization; fitting; compression; information bottleneck; successive refinement; unique information; incremental learning; coarse-graining; Blackwell order; deep learning; Information Bottleneck; bifurcations; ordinary differential equation; numerical approximation; n/a

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Theory and Application of the Information Bottleneck Method

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March 2024

350 pages

ISBN 978-3-7258-0462-7 (Hardback)
ISBN 978-3-7258-0461-0 (PDF)

https://doi.org/10.3390/books978-3-7258-0461-0

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This is a Reprint of the Special Issue Theory and Application of the Information Bottleneck Method that was published in

Engineering

Summary

This reprint includes recent works on the information bottleneck method. The articles included range from mathematical analyses of the information bottleneck setup to their practical applications in engineering.

The recommendations have been generated using an AI system.

Theory and Application of the Information Bottleneck Method

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