Search Results for author: Aurelien Decelle

Found 3 papers, 0 papers with code

Detection of cheating by decimation algorithm

no code implementations14 Oct 2014 Shogo Yamanaka, Masayuki Ohzeki, Aurelien Decelle

In this paper we aim to infer the correct biases and interactions of our model by considering a relatively small number of sets of training data.

BIG-bench Machine Learning

Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications

no code implementations14 Sep 2011 Aurelien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová

In this paper we extend our previous work on the stochastic block model, a commonly used generative model for social and biological networks, and the problem of inferring functional groups or communities from the topology of the network.

Statistical Mechanics Disordered Systems and Neural Networks Social and Information Networks Physics and Society

Phase transition in the detection of modules in sparse networks

no code implementations6 Feb 2011 Aurelien Decelle, Florent Krzakala, Cristopher Moore, Lenka Zdeborová

We present an asymptotically exact analysis of the problem of detecting communities in sparse random networks.

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