Pierre Latouche

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 25

Top Topics

Dynamic Networks

Top Venues

Publications

Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
Cluster-Specific Predictions with Multi-Task Gaussian Processes. J. Mach. Learn. Res. 24 (2023)
Rémi Boutin, Charles Bouveyron, Pierre Latouche
Embedded topics in the stochastic block model. Stat. Comput. 33 (5) (2023)
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
The graph embedded topic model. Neurocomputing 562 (2023)
Rémi Boutin, Pierre Latouche, Charles Bouveyron
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges. CoRR (2023)
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
Deep latent position model for node clustering in graphs. ESANN (2022)
Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
MAGMA: inference and prediction using multi-task Gaussian processes with common mean. Mach. Learn. 111 (5) (2022)
Rémi Boutin, Charles Bouveyron, Pierre Latouche
Embedded Topics in the Stochastic Block Model. CoRR (2022)
Etienne Côme, Nicolas Jouvin, Pierre Latouche, Charles Bouveyron
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. Adv. Data Anal. Classif. 15 (4) (2021)
Nicolas Jouvin, Charles Bouveyron, Pierre Latouche
A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering. Stat. Comput. 31 (4) (2021)
Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
DeepLTRS: A deep latent recommender system based on user ratings and reviews. Pattern Recognit. Lett. 152 (2021)
Nicolas Jouvin, Pierre Latouche, Charles Bouveyron, Guillaume Bataillon, Alain Livartowski
Greedy clustering of count data through a mixture of multinomial PCA. Comput. Stat. 36 (1) (2021)
Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
Cluster-Specific Predictions with Multi-Task Gaussian Processes. CoRR (2020)
Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
MAGMA: Inference and Prediction with Multi-Task Gaussian Processes. CoRR (2020)
Laurent R. Bergé, Charles Bouveyron, Marco Corneli, Pierre Latouche
The latent topic block model for the co-clustering of textual interaction data. Comput. Stat. Data Anal. 137 (2019)
Marco Corneli, Charles Bouveyron, Pierre Latouche, Fabrice Rossi
The dynamic stochastic topic block model for dynamic networks with textual edges. Stat. Comput. 29 (4) (2019)
Marco Corneli, Pierre Latouche, Fabrice Rossi
Multiple change points detection and clustering in dynamic networks. Stat. Comput. 28 (5) (2018)
Charles Bouveyron, Pierre Latouche, Rawya Zreik
The stochastic topic block model for the clustering of vertices in networks with textual edges. Stat. Comput. 28 (1) (2018)
Riccardo Rastelli, Pierre Latouche, Nial Friel
Choosing the number of groups in a latent stochastic blockmodel for dynamic networks. Netw. Sci. 6 (4) (2018)
Jason Wyse, Nial Friel, Pierre Latouche
Inferring structure in bipartite networks using the latent blockmodel and exact ICL. Netw. Sci. 5 (1) (2017)
Rawya Zreik, Pierre Latouche, Charles Bouveyron
The dynamic random subgraph model for the clustering of evolving networks. Comput. Stat. 32 (2) (2017)
Pierre Latouche, Pierre-Alexandre Mattei, Charles Bouveyron, Julien Chiquet
Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression. J. Multivar. Anal. 146 (2016)
Marco Corneli, Pierre Latouche, Fabrice Rossi
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL. Soc. Netw. Anal. Min. 6 (1) (2016)
Pierre Latouche, Stéphane Robin
Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models. Stat. Comput. 26 (6) (2016)
Pierre-Alexandre Mattei, Charles Bouveyron, Pierre Latouche
Globally Sparse Probabilistic PCA. AISTATS (2016)
Marco Corneli, Pierre Latouche, Fabrice Rossi
Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks. Neurocomputing 192 (2016)
Marco Corneli, Pierre Latouche, Fabrice Rossi
Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networks. ESANN (2015)
Pierre Latouche, Fabrice Rossi
Graphs in machine learning. An introduction. ESANN (2015)
Kevin Mentzer, François-Xavier Dudouet, Dominique Haughton, Pierre Latouche, Fabrice Rossi
Is the corporate elite disintegrating?: Interlock boards and the Mizruchi hypothesis. ASONAM (2015)
Marco Corneli, Pierre Latouche, Fabrice Rossi
Modelling time evolving interactions in networks through a non stationary extension of stochastic block models. ASONAM (2015)
Pierre Latouche, Fabrice Rossi
Graphs in machine learning: an introduction. CoRR (2015)
Rawya Zreik, Pierre Latouche, Charles Bouveyron
A State-Space Model for the Dynamic Random Subgraph Model. ESANN (2015)
Fabrice Rossi, Pierre Latouche
Activity Date Estimation in Timestamped Interaction Networks. ESANN (2013)
Laetitia Nouedoui, Pierre Latouche
Bayesian non parametric inference of discrete valued networks. ESANN (2013)
Fabrice Rossi, Pierre Latouche
Activity date estimation in timestamped interaction networks. CoRR (2013)
Pierre Latouche, Etienne Birmelé, Christophe Ambroise
Bayesian Methods for Graph Clustering. GfKl (2008)