140 citations · 363 across the 28 of their papers we have counts for
4 papers · 1 filter
A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering
Nicolas Jouvin, Charles Bouveyron, Pierre Latouche
High-dimensional data clustering has become and remains a challenging task for modern statistics and machine learning, with a wide range of applications. We consider in this work t…
Cluster-Specific Predictions with Multi-Task Gaussian Processes
Arthur Leroy, Pierre Latouche, Benjamin Guedj +1
A model involving Gaussian processes (GPs) is introduced to simultaneously handle multi-task learning, clustering, and prediction for multiple functional data. This procedure acts…
MAGMA: Inference and Prediction with Multi-Task Gaussian Processes
Arthur Leroy, Pierre Latouche, Benjamin Guedj +1
A novel multi-task Gaussian process (GP) framework is proposed, by using a common mean process for sharing information across tasks. In particular, we investigate the problem of ti…
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
Etienne Côme, Nicolas Jouvin, Pierre Latouche +1
Finding a set of nested partitions of a dataset is useful to uncover relevant structure at different scales, and is often dealt with a data-dependent methodology. In this paper, we…