48 citations · 59 across the 5 of their papers we have counts for
5 papers
Generalised Mutual Information: a Framework for Discriminative Clustering
Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron +4
In the last decade, recent successes in deep clustering majorly involved the Mutual Information (MI) as an unsupervised objective for training neural networks with increasing regul…
Are labels informative in semi-supervised learning? -- Estimating and leveraging the missing-data mechanism
Aude Sportisse, Hugo Schmutz, Olivier Humbert +2
Semi-supervised learning is a powerful technique for leveraging unlabeled data to improve machine learning models, but it can be affected by the presence of ``informative'' labels,…
The Stochastic Topic Block Model for the Clustering of Vertices in Networks with Textual Edges
Bouveyron Charles, Latouche Pierre, Zreik Rawya
Due to the significant increase of communications between individuals via social media (Facebook, Twitter, Linkedin) or electronic formats (email, web, e-publication) in the past t…
Discriminative variable selection for clustering with the sparse Fisher-EM algorithm
Charles Bouveyron, Camille Brunet
The interest in variable selection for clustering has increased recently due to the growing need in clustering high-dimensional data. Variable selection allows in particular to eas…
Kernel discriminant analysis and clustering with parsimonious Gaussian process models
Charles Bouveyron, Stéphane Girard, Mathieu Fauvel
This work presents a family of parsimonious Gaussian process models which allow to build, from a finite sample, a model-based classifier in an infinite dimensional space. The propo…