Published on September 22, 2025
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Updated on September 22, 2025
Dates
from August 17, 2025 to August 19, 2025
Location
Paris, France
In August, Charles Bouveyron (3IA Director and Chairholder) gave a keynote in Paris, on the occasion of ICSTA 2025.
“Unsupervised Learning with Communication Networks: From Stochastic Block Models to Deep Latent Variables Models”
Abstract: Communication networks such as emails or social networks are now ubiquitous and their analysis has become a strategic field. In many applications, the goal is to automatically extract relevant information by looking at the nodes and their connections. Unfortunately, most of the existing methods focus on analysing the presence or absence of edges and textual data is often discarded. However, all communication networks actually come with textual data on the edges. In this talk, we will cover a decade of research proposing solutions to analyse such networks, ranging from stochastic block models to deep latent variables models.
Charles Bouveyron has been 3IA Director since 2020 and a 3IA Chairholder since 2019.
Learn more about his work
Abstract: Communication networks such as emails or social networks are now ubiquitous and their analysis has become a strategic field. In many applications, the goal is to automatically extract relevant information by looking at the nodes and their connections. Unfortunately, most of the existing methods focus on analysing the presence or absence of edges and textual data is often discarded. However, all communication networks actually come with textual data on the edges. In this talk, we will cover a decade of research proposing solutions to analyse such networks, ranging from stochastic block models to deep latent variables models.
Charles Bouveyron has been 3IA Director since 2020 and a 3IA Chairholder since 2019.
Learn more about his work
