Rémi Boutin

Postdoc, LPSM, Sorbonne Université

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I hold a postdoc position at the LPSM laboratory, Sorbonne Université, under the supervision of Catherine Matias. My work focuses on node clustering in sparse hypergraphs.

I obained my PhD in 2023 at the MAP 5 laboratory, Université Paris Cité, for my thesis on Deep graphical models and inference strategies for the analysis of networks comprising textual edges under the supervision of Pierre Latouche and Charles Bouveyron.

My areas of research are related to statistical network analysis, network clustering, topic modelling as well as deep probabilistic modelling. Feel free to send me an email for more information concerning my work.

news

Dec 14, 2023 PhD defence in front of the jury composed of Etienne Côme (examinateur), Sophie Donnet (rapporteuse), Brendan Murphy (rapporteur), Tabea Rebafka (examinatrice), Cinzia Viroli (examinatrice). The manuscript is available here and the slides of my PhD defence here.
Jul 4, 2023 Presentation at the Journées de la Statistique 2023 on the Deep Latent Position Topic Model. The slides are available here
Apr 6, 2023 Poster session at Statlearn 2023 on the Deep Latent Position Topic Model, the poster is accessible here
Nov 15, 2022 Presentation during the seminar of Probability, Analysis and Statistic at the Laboratoire de Mathématiques Blaise Pascal, Université Clermont Auvergne.
Nov 9, 2022 Introduction to probabilistic modelling and variational inference during the seminar of PhD students, at the Laboratoire de Mathématiques Blaise Pascal, Université Clermont Auvergne.
Oct 14, 2022 Presentation during the seminar of PhD students, at the MAP5, Université Paris Cité.
Jun 13, 2022 Presentation during the Journées de la Statistique 2022, in Lyon. The slides are available here
Apr 6, 2022 Poster session at Statlearn 2022, in Cargèse.
Nov 6, 2021 Poster session during the SophIA summit, the poster is available here

selected publications

  1. deeplptm-image.png
    The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges
    Rémi Boutin, Pierre Latouche, and Charles Bouveyron
    arXiv preprint arXiv:2304.08242, 2023
  2. etsbm_image.png
    Embedded Topics in the Stochastic Block Model
    Rémi Boutin, Charles Bouveyron, and Pierre Latouche
    Statistics and Computing, 2023