Information Bottleneck: Theory and Applications in Deep Learning

The information bottleneck (IB) framework, proposed in [...]

Bibliographic Details
Main Authors: Bernhard C. Geiger, Gernot Kubin
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/12/1408
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author Bernhard C. Geiger
Gernot Kubin
author_facet Bernhard C. Geiger
Gernot Kubin
author_sort Bernhard C. Geiger
collection DOAJ
description The information bottleneck (IB) framework, proposed in [...]
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spelling doaj.art-72c35e8632104678a151dd0a1c0f0b4b2023-11-21T00:41:41ZengMDPI AGEntropy1099-43002020-12-012212140810.3390/e22121408Information Bottleneck: Theory and Applications in Deep LearningBernhard C. Geiger0Gernot Kubin1Know-Center GmbH, Inffeldgasse 13/6, 8010 Graz, AustriaSignal Processing and Speech Communication Laboratory, Graz University of Technology, Inffeldgasse 16c, 8010 Graz, AustriaThe information bottleneck (IB) framework, proposed in [...]https://www.mdpi.com/1099-4300/22/12/1408information bottleneckdeep learningneural networks
spellingShingle Bernhard C. Geiger
Gernot Kubin
Information Bottleneck: Theory and Applications in Deep Learning
Entropy
information bottleneck
deep learning
neural networks
title Information Bottleneck: Theory and Applications in Deep Learning
title_full Information Bottleneck: Theory and Applications in Deep Learning
title_fullStr Information Bottleneck: Theory and Applications in Deep Learning
title_full_unstemmed Information Bottleneck: Theory and Applications in Deep Learning
title_short Information Bottleneck: Theory and Applications in Deep Learning
title_sort information bottleneck theory and applications in deep learning
topic information bottleneck
deep learning
neural networks
url https://www.mdpi.com/1099-4300/22/12/1408
work_keys_str_mv AT bernhardcgeiger informationbottlenecktheoryandapplicationsindeeplearning
AT gernotkubin informationbottlenecktheoryandapplicationsindeeplearning