publications

2025

1. Preprint

   Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures

   Yohann De Castro, Rémi Gribonval, and Nicolas Jouvin

   Jul 2025

   preprint

   Bib PDF

   @unpublished{decastro:hal-05162134,
     title = {{Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures}},
     author = {De Castro, Yohann and Gribonval, R{\'e}mi and Jouvin, Nicolas},
     url = {https://hal.science/hal-05162134},
     year = {2025},
     month = jul,
   }

2. JDS 25

   Problèmes inverses et apprentissage informé par la physique

   Hugo Gangloff and Nicolas Jouvin

   In Journées de statistiques 2025, May 2025

   PDF

2024

1. Package

   jinns: a JAX Library for Physics-Informed Neural Networks

   Hugo Gangloff and Nicolas Jouvin

   Dec 2024

   https://mia_jinns.gitlab.io/jinns/

   Bib PDF

   @unpublished{gangloff:hal-04847347,
     title = {{jinns: a JAX Library for Physics-Informed Neural Networks}},
     author = {Gangloff, Hugo and Jouvin, Nicolas},
     url = {https://hal.inrae.fr/hal-04847347},
     year = {2024},
     month = dec,
   }

2022

1. Package

   greed: An R Package for Model-Based Clustering by Greedy Maximization of the Integrated Classification Likelihood

   Etienne Côme and Nicolas Jouvin

   May 2022

   https://comeetie.github.io/greed/

   Bib PDF

   @unpublished{come:hal-03656336,
     title = {{greed: An R Package for Model-Based Clustering by Greedy Maximization of the Integrated Classification Likelihood}},
     author = {C{\o}me, Etienne and Jouvin, Nicolas},
     url = {https://hal.science/hal-03656336},
     year = {2022},
     month = may,
   }

2021

1. Stat Comput

   A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering

   Nicolas Jouvin, Charles Bouveyron, and Pierre Latouche

   Statistics and Computing, May 2021

   The FisherEM package is available on CRAN, see https://github.com/nicolasJouvin/FisherEM for additional information

   DOI Bib PDF

   @article{jouvin:hal-03047930,
     title = {{A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering}},
     author = {Jouvin, Nicolas and Bouveyron, Charles and Latouche, Pierre},
     url = {https://hal.science/hal-03047930},
     journal = {{Statistics and Computing}},
     publisher = {{Springer Verlag (Germany)}},
     volume = {31},
     year = {2021},
     month = may,
     doi = {10.1007/s11222-021-10018-6},
   }

2. ADAC

   Hierarchical clustering with discrete latent variable models and the integrated classification likelihood

   Etienne Come, Nicolas Jouvin, Pierre Latouche, and 1 more author

   Advances in Data Analysis and Classification, May 2021

   DOI Bib PDF

   @article{come:hal-02530705,
     title = {{Hierarchical clustering with discrete latent variable models and the integrated classification likelihood}},
     author = {Come, Etienne and Jouvin, Nicolas and Latouche, Pierre and Bouveyron, Charles},
     url = {https://hal.science/hal-02530705},
     journal = {{Advances in Data Analysis and Classification}},
     publisher = {{Springer Verlag}},
     volume = {15},
     pages = {957--986},
     year = {2021},
     doi = {10.1007/s11634-021-00440-z},
   }

2020

1. Comp Stat

   Greedy clustering of count data through a mixture of multinomial PCA

   Nicolas Jouvin, Pierre Latouche, Charles Bouveyron, and 2 more authors

   Computational Statistics, Jul 2020

   34 pages, 11 figures

   DOI Bib PDF

   @article{jouvin:hal-02278224,
     title = {{Greedy clustering of count data through a mixture of multinomial PCA}},
     author = {Jouvin, Nicolas and Latouche, Pierre and Bouveyron, Charles and Bataillon, Guillaume and Livartowski, Alain},
     url = {https://hal.science/hal-02278224},
     journal = {{Computational Statistics}},
     publisher = {{Springer Verlag}},
     year = {2020},
     month = jul,
     doi = {10.1007/s00180-020-01008-9},
   }

2. PhD Thesis

   High-dimensional data and graph clustering with discrete latent variable models

   Nicolas Jouvin

   Dec 2020

   PDF