activity
20192022
most citedPowered Dirichlet Process for Controlling the Importance of "Rich-Get-Richer" Prior Assumptions in Bayesian Clustering

2 citations · 4 across the 7 of their papers we have counts for

collaborators

9 papers

cs.SI2022

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…

cs.SI2022

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…

cs.LG2022

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…

cs.SI20222 cited

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…

cs.CL2022

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…

cs.LG2021

Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior

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…