1 citations · 2 across the 3 of their papers we have counts for
8 papers
A Random Geometric Model of Blockages in Vehicular Networks
Chang-Sik Choi, François Baccelli
This paper presents a novel spatially consistent approach for modeling line-of-sight (LOS) paths in vehicular networks. We use stochastic geometry to model transmitters, obstacles,…
The Pair-Replica-Mean-Field Limit for Intensity-based Neural Networks
François Baccelli, Thibaud Taillefumier
Replica-mean-field models have been proposed to decipher the activity of neural networks via a multiply-and-conquer approach. In this approach, one considers limit networks made of…
ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly
Abishek Sankararaman, Haris Vikalo, François Baccelli
Background: Haplotypes, the ordered lists of single nucleotide variations that distinguish chromosomal sequences from their homologous pairs, may reveal an individual's susceptibil…
Replica-mean-field limits for intensity-based neural networks
François Baccelli, Thibaud Taillefumier
Neural computations emerge from myriads of neuronal interactions occurring in intricate spiking networks. Due to the inherent complexity of neural models, relating the spiking acti…
Doeblin Trees
François Baccelli, Mir-Omid Haji-Mirsadeghi, James T. Murphy
This paper is centered on the random graph generated by a Doeblin-type coupling of discrete time processes on a countable state space whereby when two paths meet, they merge. This…
Unimodular Billingsley and Frostman Lemmas
François Baccelli, Mir-Omid Haji-Mirsadeghi, Ali Khezeli
The notions of unimodular Minkowski and Hausdorff dimensions are defined in [arXiv:1807.02980] for unimodular random discrete metric spaces. The present paper is focused on the con…