Pierre Latouche

40 papers A 1B 8Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A new machine learning framework for occupational accidents forecasting with safety inspections integration. CoRR Aho Yapi, Pierre Latouche, Arnaud Guillin, Yan Bailly
2025	J	`jnl`	Clustering by deep latent position model with graph convolutional network. Adv. Data Anal. Classif. Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2025	J	`jnl`	The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks. Stat. Comput. Rémi Boutin, Pierre Latouche, Charles Bouveyron
2025	J	`jnl`	The multiplex deep latent position model for the clustering of nodes in multiview networks. Neurocomputing Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche, Junping Yin
2023	J	`jnl`	Cluster-Specific Predictions with Multi-Task Gaussian Processes. J. Mach. Learn. Res. Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
2023	J	`jnl`	Embedded topics in the stochastic block model. Stat. Comput. Rémi Boutin, Charles Bouveyron, Pierre Latouche
2023	J	`jnl`	The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges. CoRR Rémi Boutin, Pierre Latouche, Charles Bouveyron
2023	J	`jnl`	The graph embedded topic model. Neurocomputing Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2022	B	`conf`	Deep latent position model for node clustering in graphs. ESANN Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2022	J	`jnl`	Embedded Topics in the Stochastic Block Model. CoRR Rémi Boutin, Charles Bouveyron, Pierre Latouche
2022	J	`jnl`	MAGMA: inference and prediction using multi-task Gaussian processes with common mean. Mach. Learn. Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
2021	J	`jnl`	A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering. Stat. Comput. Nicolas Jouvin, Charles Bouveyron, Pierre Latouche
2021	J	`jnl`	DeepLTRS: A deep latent recommender system based on user ratings and reviews. Pattern Recognit. Lett. Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2021	J	`jnl`	Greedy clustering of count data through a mixture of multinomial PCA. Comput. Stat. Nicolas Jouvin, Pierre Latouche, Charles Bouveyron, Guillaume Bataillon, Alain Livartowski
2021	J	`jnl`	Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. Adv. Data Anal. Classif. Etienne Côme, Nicolas Jouvin, Pierre Latouche, Charles Bouveyron
2020	J	`jnl`	Cluster-Specific Predictions with Multi-Task Gaussian Processes. CoRR Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
2020	J	`jnl`	MAGMA: Inference and Prediction with Multi-Task Gaussian Processes. CoRR Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey
2019	J	`jnl`	The dynamic stochastic topic block model for dynamic networks with textual edges. Stat. Comput. Marco Corneli, Charles Bouveyron, Pierre Latouche, Fabrice Rossi
2019	J	`jnl`	The latent topic block model for the co-clustering of textual interaction data. Comput. Stat. Data Anal. Laurent R. Bergé, Charles Bouveyron, Marco Corneli, Pierre Latouche
2018	J	`jnl`	Choosing the number of groups in a latent stochastic blockmodel for dynamic networks. Netw. Sci. Riccardo Rastelli, Pierre Latouche, Nial Friel
2018	J	`jnl`	Multiple change points detection and clustering in dynamic networks. Stat. Comput. Marco Corneli, Pierre Latouche, Fabrice Rossi
2018	J	`jnl`	The stochastic topic block model for the clustering of vertices in networks with textual edges. Stat. Comput. Charles Bouveyron, Pierre Latouche, Rawya Zreik
2017	J	`jnl`	Inferring structure in bipartite networks using the latent blockmodel and exact ICL. Netw. Sci. Jason Wyse, Nial Friel, Pierre Latouche
2017	J	`jnl`	The dynamic random subgraph model for the clustering of evolving networks. Comput. Stat. Rawya Zreik, Pierre Latouche, Charles Bouveyron
2016	J	`jnl`	Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL. Soc. Netw. Anal. Min. Marco Corneli, Pierre Latouche, Fabrice Rossi
2016	J	`jnl`	Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression. J. Multivar. Anal. Pierre Latouche, Pierre-Alexandre Mattei, Charles Bouveyron, Julien Chiquet
2016	J	`jnl`	Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks. Neurocomputing Marco Corneli, Pierre Latouche, Fabrice Rossi
2016	A	`conf`	Globally Sparse Probabilistic PCA. AISTATS Pierre-Alexandre Mattei, Charles Bouveyron, Pierre Latouche
2016	J	`jnl`	Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models. Stat. Comput. Pierre Latouche, Stéphane Robin
2015	B	`conf`	A State-Space Model for the Dynamic Random Subgraph Model. ESANN Rawya Zreik, Pierre Latouche, Charles Bouveyron
2015	B	`conf`	Exact ICL maximization in a non-stationary time extension of latent block model for dynamic networks. ESANN Marco Corneli, Pierre Latouche, Fabrice Rossi
2015	B	`conf`	Graphs in machine learning. An introduction. ESANN Pierre Latouche, Fabrice Rossi
2015	J	`jnl`	Graphs in machine learning: an introduction. CoRR Pierre Latouche, Fabrice Rossi
2015	B	`conf`	Is the corporate elite disintegrating?: Interlock boards and the Mizruchi hypothesis. ASONAM Kevin Mentzer, François-Xavier Dudouet, Dominique Haughton, Pierre Latouche, Fabrice Rossi
2015	B	`conf`	Modelling time evolving interactions in networks through a non stationary extension of stochastic block models. ASONAM Marco Corneli, Pierre Latouche, Fabrice Rossi
2014	—	`ch.`	Overlapping Clustering Methods for Networks. Handbook of Mixed Membership Models and Their Applications Pierre Latouche, Etienne Birmelé, Christophe Ambroise
2013	B	`conf`	Activity Date Estimation in Timestamped Interaction Networks. ESANN Fabrice Rossi, Pierre Latouche
2013	J	`jnl`	Activity date estimation in timestamped interaction networks. CoRR Fabrice Rossi, Pierre Latouche
2013	B	`conf`	Bayesian non parametric inference of discrete valued networks. ESANN Laetitia Nouedoui, Pierre Latouche
2008	—	`conf`	Bayesian Methods for Graph Clustering. GfKl Pierre Latouche, Etienne Birmelé, Christophe Ambroise