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04/14/2023
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
Numerical interactions leading to users sharing textual content publishe...
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09/19/2022
Embedded Topics in the Stochastic Block Model
Communication networks such as emails or social networks are now ubiquit...
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01/27/2021
Motif-based tests for bipartite networks
Bipartite networks are a natural representation of the interactions betw...
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12/08/2020
A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering
High-dimensional data clustering has become and remains a challenging ta...
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11/16/2020
Cluster-Specific Predictions with Multi-Task Gaussian Processes
A model involving Gaussian processes (GPs) is introduced to simultaneous...
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07/21/2020
MAGMA: Inference and Prediction with Multi-Task Gaussian Processes
We investigate the problem of multiple time series forecasting, with the...
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02/26/2020
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood
In this paper, we introduce a two step methodology to extract a hierarch...
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09/02/2019
Clustering of count data through a mixture of multinomial PCA
Count data is becoming more and more ubiquitous in a wide range of appli...
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07/10/2017
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL
We develop a model in which interactions between nodes of a dynamic netw...
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03/08/2017
Exact Dimensionality Selection for Bayesian PCA
We present a Bayesian model selection approach to estimate the intrinsic...
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05/19/2016
Bayesian Variable Selection for Globally Sparse Probabilistic PCA
Sparse versions of principal component analysis (PCA) have imposed thems...
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05/09/2016
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks
The stochastic block model (SBM) is a flexible probabilistic tool that c...
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09/08/2015
Modelling time evolving interactions in networks through a non stationary extension of stochastic block models
In this paper, we focus on the stochastic block model (SBM),a probabilis...
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06/23/2015
Graphs in machine learning: an introduction
Graphs are commonly used to characterise interactions between objects of...
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06/12/2015