Articles with public access mandates - Pierre LatoucheLearn more
Not available anywhere: 1
Greedy clustering of count data through a mixture of multinomial PCA
N Jouvin, P Latouche, C Bouveyron, G Bataillon, A Livartowski
Computational Statistics 36, 1-33, 2021
Mandates: Agence Nationale de la Recherche
Available somewhere: 17
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
Mandates: Science Foundation Ireland
The dynamic random subgraph model for the clustering of evolving networks
R Zreik, P Latouche, C Bouveyron
Computational Statistics 32, 501-533, 2017
Mandates: European Commission
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
Mandates: Science Foundation Ireland, Vienna Science and Technology Fund, Austria
Co-clustering of ordinal data via latent continuous random variables and not missing at random entries
M Corneli, C Bouveyron, P Latouche
Journal of Computational and Graphical Statistics 29 (4), 771-785, 2020
Mandates: Agence Nationale de la Recherche
Degree-based goodness-of-fit tests for heterogeneous random graph models: independent and exchangeable cases
S Ouadah, S Robin, P Latouche
Scandinavian Journal of Statistics, 2019
Mandates: Agence Nationale de la Recherche
MAGMA: inference and prediction using multi-task Gaussian processes with common mean
A Leroy, P Latouche, B Guedj, S Gey
Machine Learning 111 (5), 1821-1849, 2022
Mandates: US Department of Defense, UK Engineering and Physical Sciences Research …
Cluster identification in maritime flows with stochastic methods
C Bouveyron, P Latouche, R Zreik, C Ducruet
Maritime Networks, 234-252, 2015
Mandates: European Commission
Cluster dynamics in the collapsing Soviet shipping network
R Zreik, C Ducruet, C Bouveyron, P Latouche
Advances in Shipping Data Analysis and Modeling, 317-337, 2017
Mandates: European Commission
Cluster-specific predictions with multi-task gaussian processes
A Leroy, P Latouche, B Guedj, S Gey
Journal of Machine Learning Research 24 (5), 1-49, 2023
Mandates: US Department of Defense, A*Star, Singapore, UK Engineering and Physical …
Motif-based tests for bipartite networks
S Ouadah, P Latouche, S Robin
Electronic Journal of Statistics 16 (1), 293-330, 2022
Mandates: Agence Nationale de la Recherche
DeepLTRS: A deep latent recommender system based on user ratings and reviews
D Liang, M Corneli, C Bouveyron, P Latouche
Pattern Recognition Letters 152, 267-274, 2021
Mandates: Agence Nationale de la Recherche
The graph embedded topic model
D Liang, M Corneli, C Bouveyron, P Latouche
Neurocomputing 562, 126900, 2023
Mandates: Agence Nationale de la Recherche
Embedded topics in the stochastic block model
R Boutin, C Bouveyron, P Latouche
Statistics and Computing 33 (5), 95, 2023
Mandates: Agence Nationale de la Recherche
A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering
N Jouvin, C Bouveyron, P Latouche
Statistics and Computing 31 (4), 44, 2021
Mandates: Agence Nationale de la Recherche
Deep latent position model for node clustering in graphs
D Liang, M Corneli, C Bouveyron, P Latouche
ESANN 2022-30th European Symposium on Artificial Neural Networks …, 2022
Mandates: Agence Nationale de la Recherche
Clustering by deep latent position model with graph convolutional network
D Liang, M Corneli, C Bouveyron, P Latouche
Advances in Data Analysis and Classification, 1-34, 2024
Mandates: Agence Nationale de la Recherche
Missing rating imputation based on product reviews via deep latent variable models
D Liang, M Corneli, P Latouche, C Bouveyron
ICML2020 Workshop on the Art of Learning with Missing Values (Artemiss), 2020
Mandates: Agence Nationale de la Recherche
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