11 citations · 16 across the 5 of their papers we have counts for
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stat.ML2017★ 11 cited
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL
Marco Corneli, Pierre Latouche, Fabrice Rossi
We develop a model in which interactions between nodes of a dynamic network are counted by non homogeneous Poisson processes. In a block modelling perspective, nodes belong to hidd…
stat.ML2015
Graphs in machine learning: an introduction
Pierre Latouche, Fabrice Rossi
Graphs are commonly used to characterise interactions between objects of interest. Because they are based on a straightforward formalism, they are used in many scientific fields fr…
stat.ML2015★ 3 cited
Exact ICL maximization in a non-stationary time extension of the latent block model for dynamic networks
Marco Corneli, Pierre Latouche, Fabrice Rossi
The latent block model (LBM) is a flexible probabilistic tool to describe interactions between node sets in bipartite networks, but it does not account for interactions of time var…