47 citations · 115 across the 30 of their papers we have counts for
8 papers · 1 filter
Multivariate Powered Dirichlet Hawkes Process
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
The publication time of a document carries a relevant information about its semantic content. The Dirichlet-Hawkes process has been proposed to jointly model textual information an…
Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Information spread on networks can be efficiently modeled by considering three features: documents' content, time of publication relative to other publications, and position of the…
Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms
Ian Davidson, Michael Livanos, Antoine Gourru +3
Explainable AI (XAI) is an important developing area but remains relatively understudied for clustering. We propose an explainable-by-design clustering approach that not only finds…
Interactions in Information Spread
Gaël Poux-Médard
Since the development of writing 5000 years ago, human-generated data gets produced at an ever-increasing pace. Classical archival methods aimed at easing information retrieval. No…
Properties of Reddit News Topical Interactions
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Most models of information diffusion online rely on the assumption that pieces of information spread independently from each other. However, several works pointed out the necessity…
Serialized Interacting Mixed Membership Stochastic Block Model
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Last years have seen a regain of interest for the use of stochastic block modeling (SBM) in recommender systems. These models are seen as a flexible alternative to tensor decomposi…
Interactions in Information Spread
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
Large quantities of data flow on the internet. When a user decides to help the spread of a piece of information (by retweeting, liking, posting content), most research works assume…
Le Processus Powered Dirichlet-Hawkes comme A Priori Flexible pour Clustering Temporel de Textes
Gaël Poux-Médard, Julien Velcin, Sabine Loudcher
The textual content of a document and its publication date are intertwined. For example, the publication of a news article on a topic is influenced by previous publications on simi…