| Estimation and selection for the latent block model on categorical data C Keribin, V Brault, G Celeux, G Govaert Statistics and Computing 25 (6), 1201-1216, 2015 | 89 | 2015 |
| Model selection for the binary latent block model C Keribin, V Brault, G Celeux, G Govaert Proceedings of COMPSTAT 2012, 2012 | 27 | 2012 |
| Co-clustering through optimal transport C Laclau, I Redko, B Matei, Y Bennani, V Brault arXiv preprint arXiv:1705.06189, 2017 | 17 | 2017 |
| Using gaze behavior to gain insights into the impacts of naturalness on city dwellers' perceptions and valuation of a landscape M Cottet, L Vaudor, H Tronchère, D Roux-Michollet, M Augendre, V Brault Journal of Environmental Psychology 60, 9-20, 2018 | 12 | 2018 |
| Fast and consistent algorithm for the latent block model V Brault, A Channarond arXiv preprint arXiv:1610.09005, 2016 | 12 | 2016 |
| Consistency and asymptotic normality of Latent Block Model estimators V Brault, C Keribin, M Mariadassou Electronic journal of statistics 14 (1), 1234-1268, 2020 | 11 | 2020 |
| Co-clustering through latent bloc model: A review V Brault, M Mariadassou | 11 | 2015 |
| Estimation et sélection de modèle pour le modèle des blocs latents V Brault | 10 | 2014 |
| Comparing high-dimensional partitions with the Co-clustering Adjusted Rand Index V Robert, Y Vasseur, V Brault Journal of Classification, 1-29, 2020 | 9 | 2020 |
| Nonparametric multiple change-point estimation for analyzing large Hi-C data matrices V Brault, S Ouadah, L Sansonnet, C Lévy-Leduc Journal of Multivariate Analysis 165, 143-165, 2018 | 8 | 2018 |
| Group testing as a strategy for the epidemiologic monitoring of COVID-19 V Brault, B Mallein, JF Rupprecht arXiv preprint arXiv:2005.06776, 2020 | 6 | 2020 |
| Revue des méthodes pour la classification jointe des lignes et des colonnes d'un tableau V Brault, A Lomet | 6 | 2015 |
| Noise-free latent block model for high dimensional data C Laclau, V Brault Data Mining and Knowledge Discovery 33 (2), 446-473, 2019 | 4 | 2019 |
| Efficient block boundaries estimation in block-wise constant matrices: An Application to HiC data V Brault, J Chiquet, C Lévy-Leduc Electronic journal of statistics 11 (1), 1570-1599, 2017 | 4 | 2017 |
| Change-point estimation in the multivariate model taking into account the dependence: Application to the vegetative development of oilseed rape V Brault, C Lévy-Leduc, A Mathieu, A Jullien Journal of Agricultural, Biological and Environmental Statistics 23 (3), 374-389, 2018 | 3 | 2018 |
| Normalité asymptotique de l’estimateur du maximum de vraisemblance dans le modèle de blocs latents M Mariadassou, V Brault, C Keribin | 3 | 2016 |
| Nonparametric homogeneity tests and multiple change-point estimation for analyzing large Hi-C data matrices V Brault, S Ouadah, L Sansonnet, C Lévy-Leduc arXiv preprint arXiv:1605.03751, 2016 | 3 | 2016 |
| Régularisation bayésienne du modèle des blocs latents V Brault, G Celeux, C Keribin 44ème Journées de Statistique, 2012 | 3 | 2012 |
| Estimating the number of block boundaries from diagonal blockwise matrices without penalization V Brault, M Delattre, É Lebarbier, T Mary‐Huard, C Lévy‐Leduc Scandinavian Journal of Statistics 44 (2), 563-580, 2017 | 2 | 2017 |
| Estimating the number of change-points in a two-dimensional segmentation model without penalization V Brault, M Delattre, E Lebarbier, T Mary-Huard, C Lévy-Leduc arXiv preprint arXiv:1506.03198, 2015 | 2 | 2015 |
Gilles CeleuxDirecteur de recherche InriaVerified email at inria.fr
