Julien Chiquet
Senior Research in Statistical Learning, Université Paris-Saclay/AgroParisTech/INRAE
UMR MIA Paris-Saclay
Campus Agro Paris-Saclay
22 place de l'agronomie
91120 Palaiseau
+33(0)1.89.10.09.37
- head of UMR MIA Paris-Saclay, Team SOLsTIS
- chief editor of Computo
- part-time lecturer at École Polytechnique (2020-2024)
research interests
- statistics and machine learning
- sparse methods and regularization
- multivariate analysis
- latent variable models
- optimization and algorithms
- applications to life sciences
- ecology, environment
- metagenomics, metabolomics, genomics
- reproducible research
news
Sep 10, 2024 | Happy to share a quarto template for HCERES report, based on a home-made LaTeX sheet and Pandoc, which allows you to smoothly include markdown, code, equations, plots on the fly and manage bibliographic elements extracted from HAL with BibLaTeX. Easy to install with the quarto installer. The rendered document is here , rendered by CI with gh-actions, if you want a quick look. This was clearly the most exciting part of writing the report for my laboratory. I hope this helps some colleagues, so please feel free to use and contribute. |
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Jun 1, 2023 | I gave two talks last week on probabilistic dimension reduction, one at the Séminaire nantais inter-établissements en Science des Données and another during the first animation of the working group LEGO on machine-learning for genomics, which are two very nice research intitiaves! Check the github repos of my slides and code. |
Nov 13, 2022 | I am glad to give two talks this week, one at the Séminaire Parisien de Statistique and another at ML4 Life Science in Montpellier, both based on this material about recent advances in the Poisson lognormal model |
May 16, 2022 | The laboratory moved to Palaiseau with all of AgroParisTech to a brand new campus: a few shocks and adjustments on arrival, but all united! |
Feb 24, 2022 | I have presented Computo at the 2nd Toronto Workshop on reproducibility ! 🤩 |
selected publications
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NeuripsA Probabilistic Graph Coupling View of Dimension ReductionIn Advances in Neural Information Processing Systems, 2022