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Variational Bayesian inference and complexity control for stochastic block models

Accounting for population stratification in practice: a comparison of the main strategies dedicated to genome-wide association studies

Defining a robust biological prior from pathway analysis to drive network inference

Inferring multiple graphical structures

New consistent and asymptotically normal parameter estimates for random-graph mixture models

Overlapping stochastic block models with application to the french political blogosphere

Clustering based on random graph model embedding vertex features

New consistent and asymptotically normal estimators for random graph mixture models

Strategies for online inference of model-based clustering in large and growing networks

Weighted-LASSO for structured network inference from time course data