Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood von Côme, Etienne, Latouche, Pierre

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Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks von Corneli, Marco, Latouche, Pierre, Rossi, Fabrice

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Inferring structure in bipartite networks using the latent blockmodel and exact ICL von WYSE, JASON, FRIEL, NIAL, LATOUCHE, PIERRE

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Bioclimatic inference based on mammal community using machine learning regression models: perspectives for paleoecological studies von Linchamps, Pierre, Stoetzel, Emmanuelle, Robinet, François, Hanon, Raphaël, Latouche, Pierre, Cornette, Raphaël

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MAGMA: inference and prediction using multi-task Gaussian processes with common mean von Leroy, Arthur, Latouche, Pierre, Guedj, Benjamin, Gey, Servane

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The graph embedded topic model von Liang, Dingge, Corneli, Marco, Bouveyron, Charles, Latouche, Pierre

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Multiple change points detection and clustering in dynamic networks von Corneli, Marco, Latouche, Pierre, Rossi, Fabrice

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DeepLTRS: A deep latent recommender system based on user ratings and reviews von Liang, Dingge, Corneli, Marco, Bouveyron, Charles, Latouche, Pierre

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Cluster-Specific Predictions with Multi-Task Gaussian Processes von Leroy, Arthur, Latouche, Pierre, Guedj, Benjamin, Gey, Servane

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Embedded topics in the stochastic block model von Boutin, Rémi, Bouveyron, Charles, Latouche, Pierre

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OVERLAPPING STOCHASTIC BLOCK MODELS WITH APPLICATION TO THE FRENCH POLITICAL BLOGOSPHERE von Latouche, Pierre, Birmelé, Etienne, Ambroise, Christophe

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Degree‐based goodness‐of‐fit tests for heterogeneous random graph models: Independent and exchangeable cases von Ouadah, Sarah, Robin, Stéphane, Latouche, Pierre

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Variational Bayes model averaging for graphon functions and motif frequencies inference in W-graph models von Latouche, Pierre, Robin, Stéphane

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Clustering by deep latent position model with graph convolutional network von Liang, Dingge, Corneli, Marco, Bouveyron, Charles, Latouche, Pierre

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A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering von Jouvin, Nicolas, Bouveyron, Charles, Latouche, Pierre

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Variational Bayesian inference and complexity control for stochastic block models von Latouche, P, Birmelé, E, Ambroise, C

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Motif-based tests for bipartite networks von Ouadah, Sarah, Latouche, Pierre, Robin, Stéphane

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Exact dimensionality selection for Bayesian PCA von Bouveyron, Charles, Latouche, Pierre, Mattei, Pierre‐Alexandre

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Easily Computed Marginal Likelihoods from Posterior Simulation Using the THAMES Estimator von Metodiev, Martin, Perrot-Dockès, Marie, Ouadah, Sarah, Irons, Nicholas J., Latouche, Pierre, Raftery, Adrian E.

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The dynamic stochastic topic block model for dynamic networks with textual edges von Corneli, Marco, Bouveyron, Charles, Latouche, Pierre, Rossi, Fabrice

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