Information Bottleneck - Theory and Applications in Deep Learning

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@book{bc3474d2213f4190bc6613440859ba61,

title = "Information Bottleneck - Theory and Applications in Deep Learning",

editor = "Bernhard Geiger and Gernot Kubin",

note = "Reprint from Special Issue Information Bottleneck: Theory and Applications in Deep Learning that was published in Entropy",

year = "2021",

doi = "10.3390/books978-3-0365-0803-0",

language = "English",

isbn = "978-3-0365-0802-3",

publisher = "MDPI AG",

address = "Switzerland",

}

TY - BOOK

T1 - Information Bottleneck - Theory and Applications in Deep Learning

A2 - Geiger, Bernhard

A2 - Kubin, Gernot

N1 - Reprint from Special Issue Information Bottleneck: Theory and Applications in Deep Learning that was published in Entropy

PY - 2021

Y1 - 2021

U2 - 10.3390/books978-3-0365-0803-0

DO - 10.3390/books978-3-0365-0803-0

M3 - Anthology

SN - 978-3-0365-0802-3

BT - Information Bottleneck - Theory and Applications in Deep Learning

PB - MDPI AG

ER -