777 citations · 1.8k across the 46 of their papers we have counts for
6 papers · 1 filter
Data quality for the inverse Ising problem
Aurélien Decelle, Federico Ricci-Tersenghi, Pan Zhang
There are many methods proposed for inferring parameters of the Ising model from given data, that is a set of configurations generated according to the model itself. However little…
Belief-Propagation Guided Monte-Carlo Sampling
Aurélien Decelle, Florent Krzakala
A Monte-Carlo algorithm for discrete statistical models that combines the full power of the Belief Propagation algorithm with the advantages of a detailed-balanced heat bath approa…
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications
Aurelien Decelle, Florent Krzakala, Cristopher Moore +1
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 functiona…
Phase transition in the detection of modules in sparse networks
Aurelien Decelle, Florent Krzakala, Cristopher Moore +1
We present an asymptotically exact analysis of the problem of detecting communities in sparse random networks. Our results are also applicable to detection of functional modules, p…
The Hierarchical Random Energy Model
Michele Castellana, Aurelien Decelle, Silvio Franz +2
We introduce a Random Energy Model on a hierarchical lattice where the interaction strength between variables is a decreasing function of their mutual hierarchical distance, making…
Message Passing for Optimization and Control of Power Grid: Model of Distribution System with Redundancy
Lenka Zdeborová, Aurélien Decelle, Michael Chertkov
We use a power grid model with generators and consumption units to optimize the grid and its control. Each consumer demand is drawn from a predefined finite-size-support di…