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20152026
most citedDistributed Information-Theoretic Clustering

34 citations · 83 across the 11 of their papers we have counts for

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cs.IT2026

Three Conjectures on Binary Channels for the Doubly Symmetric Binary Source

Georg Pichler

We settle three conjectures concerning a doubly symmetric binary source with crossover . Consider Markov chains with binary, and let …

cs.IT2020★ 4 cited

On the Estimation of Information Measures of Continuous Distributions

Georg Pichler, Pablo Piantanida, Günther Koliander

The estimation of information measures of continuous distributions based on samples is a fundamental problem in statistics and machine learning. In this paper, we analyze estimates…

cs.IT2018

Information Bottleneck on General Alphabets

Georg Pichler, Günther Koliander

We prove rigorously a source coding theorem that can probably be considered folklore, a generalization to arbitrary alphabets of a problem motivated by the Information Bottleneck m…

cs.IT2016

Dictator Functions Maximize Mutual Information

Georg Pichler, Pablo Piantanida, Gerald Matz

Let denote independent, identically distributed copies of two arbitrarily correlated Rademacher random variables . We prove that the inequality…

cs.IT2016★ 34 cited

Distributed Information-Theoretic Clustering

Georg Pichler, Pablo Piantanida, Gerald Matz

We study a novel multi-terminal source coding setup motivated by the biclustering problem. Two separate encoders observe two i.i.d. sequences and , respectively. The goa…

cs.IT2015★ 15 cited

Entropy and Source Coding for Integer-Dimensional Singular Random Variables

Günther Koliander, Georg Pichler, Erwin Riegler +1

Entropy and differential entropy are important quantities in information theory. A tractable extension to singular random variables-which are neither discrete nor continuous-has no…