activity
20062013
most citedLearning Multiple Belief Propagation Fixed Points for Real Time Inference

12 citations · 56 across the 15 of their papers we have counts for

collaborators

17 papers

math.PR2013★ 3 cited

Using Latent Binary Variables for Online Reconstruction of Large Scale Systems

Victorin Martin, Jean-Marc Lasgouttes, Cyril Furtlehner

We propose a probabilistic graphical model realizing a minimal encoding of real variables dependencies based on possibly incomplete observation and an empirical cumulative distribu…

math.PR2012

Modeling a Case of Herding Behavior in a Multi-Player Game

Guy Fayolle, Jean-Marc Lasgouttes

The system mentioned in the title belongs to the family of the so-called massively multi-player online social games (MMOSG). It features a scoring system for the elements of the ga…

cond-mat.dis-nn2012★ 4 cited

Pairwise MRF Calibration by Perturbation of the Bethe Reference Point

Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes +1

We investigate different ways of generating approximate solutions to the pairwise Markov random field (MRF) selection problem. We focus mainly on the inverse Ising problem, but dis…

stat.ML2012

Local stability of Belief Propagation algorithm with multiple fixed points

Victorin Martin, Jean-Marc Lasgouttes, Cyril Furtlehner

A number of problems in statistical physics and computer science can be expressed as the computation of marginal probabilities over a Markov random field. Belief propagation, an it…

math.PR2012★ 3 cited

Waiting time asymptotics in the single server queue with service in random order

Onno Boxma, Sergey Foss, Jean-Marc Lasgouttes +1

We consider the single server queue with service in random order. For a large class of heavy-tailed service time distributions, we determine the asymptotic behavior of the waiting…

math.PR2012★ 3 cited

Birth and death processes on certain random trees: Classification and stationary laws

Guy Fayolle, Maxim Krikun, Jean-Marc Lasgouttes

The main substance of the paper concerns the growth rate and the classification (ergodicity, transience) of a family of random trees. In the basic model, new edges appear according…