| Overlapping stochastic block models with application to the french political blogosphere P Latouche, E Birmelé, C Ambroise The Annals of Applied Statistics, 309-336, 2011 | 192 | 2011 |
| Variational Bayesian inference and complexity control for stochastic block models P Latouche, E Birmele, C Ambroise Statistical Modelling 12 (1), 93-115, 2012 | 162 | 2012 |
| Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood E Côme, P Latouche Statistical Modelling 15 (6), 564-589, 2015 | 85 | 2015 |
| Inferring structure in bipartite networks using the latent blockmodel and exact ICL J Wyse, N Friel, P Latouche Network Science 5 (1), 45-69, 2017 | 45 | 2017 |
| The stochastic topic block model for the clustering of vertices in networks with textual edges C Bouveyron, P Latouche, R Zreik Statistics and Computing 28 (1), 11-31, 2018 | 39 | 2018 |
| The random subgraph model for the analysis of an ecclesiastical network in Merovingian Gaul Y Jernite, P Latouche, C Bouveyron, P Rivera, L Jegou, S Lamassé The Annals of Applied Statistics 8 (1), 377-405, 2014 | 31 | 2014 |
| Bayesian methods for graph clustering P Latouche, E Birmelé, C Ambroise Advances in Data Analysis, Data Handling and Business Intelligence, 229-239, 2009 | 31 | 2009 |
| Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models P Latouche, S Robin Statistics and Computing 26 (6), 1173-1185, 2016 | 27 | 2016 |
| Bayesian variable selection for globally sparse probabilistic PCA C Bouveyron, P Latouche, PA Mattei Electronic Journal of Statistics 12 (2), 3036-3070, 2018 | 22 | 2018 |
| Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks M Corneli, P Latouche, F Rossi Neurocomputing 192, 81-91, 2016 | 22 | 2016 |
| The dynamic random subgraph model for the clustering of evolving networks R Zreik, P Latouche, C Bouveyron Computational Statistics 32 (2), 501-533, 2017 | 21 | 2017 |
| Bayesian model averaging of stochastic block models to estimate the graphon function and motif frequencies in a w-graph model P Latouche, S Robin arXiv preprint arXiv:1310.6150, 2013 | 20 | 2013 |
| Multiple change points detection and clustering in dynamic networks M Corneli, P Latouche, F Rossi Statistics and Computing 28 (5), 989-1007, 2018 | 19 | 2018 |
| Model selection in overlapping stochastic block models P Latouche, E Birmelé, C Ambroise Electronic journal of statistics 8 (1), 762-794, 2014 | 19 | 2014 |
| Overlapping stochastic block models P Latouche, E Birmelé, C Ambroise arXiv preprint arXiv:0910.2098, 2009 | 19 | 2009 |
| Graphs in machine learning: an introduction P Latouche, F Rossi European Symposium on Artificial Neural Networks, Computational Intelligence …, 2015 | 17 | 2015 |
| Goodness of fit of logistic models for random graphs P Latouche, S Robin, S Ouadah arXiv preprint arXiv:1508.00286, 2015 | 15 | 2015 |
| Combining a relaxed EM algorithm with Occam’s razor for Bayesian variable selection in high-dimensional regression P Latouche, PA Mattei, C Bouveyron, J Chiquet Journal of Multivariate Analysis 146, 177-190, 2016 | 13 | 2016 |
| Choosing the number of groups in a latent stochastic blockmodel for dynamic networks R Rastelli, P Latouche, N Friel Network Science 6 (4), 469-493, 2018 | 12 | 2018 |
| Block modelling in dynamic networks with non-homogeneous poisson processes and exact ICL M Corneli, P Latouche, F Rossi Social Network Analysis and Mining 6 (1), 1-14, 2016 | 12 | 2016 |
Charles BouveyronProfessor of Statistics & AI, Chair at Institut 3IA Côte d'Azur, Inria, Université Côte d'AzurVerified email at math.cnrs.fr
