BOUSQUET Nicolas
Expertise
Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.
Activities
Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.
Responsibilities
Senior Expert, EDF & Associate Professor Sorbonne Université, Director of the SINCLAIR Industrial AI Laboratory (EDF-Thales-TotalEnergies)
Awards
Young Statistician Award, ENBIS, 2016
Selected publications
M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, J.-M. Loubes (2024). Hoeffding decomposition of black-box models with dependent inputs arXiv:2310.06567 .
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models
M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, J.-M. Loubes
Electronic Journal of Statistics , 18:2721�2770 (2024)
Towards new formal rules for informative prior elicitation?
N. Bousquet
Applied Stochastic Models in Business and Industry : 1-11 (2023)
On the coalitional decomposition of parameters of interest
M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, J.-M. Loubes
Comptes-Rendus de l'Academie des Sciences , 361: 1653-1662 (2023)
Deep Learning : des usages contrastés dans le monde socio-économique. Une contextualisation de l’ouvrage de Goodfellow, Bengio et Courville
R. Adon, F. Arthur, G. Baquiast, G. Hochard, A. Kaid Gherbi, A. Nègre, A. Simoulin, F. Talaouit- Mockli, N. Bousquet
Statistique & Société, 8: 55-108 (2021)
Industrial collaborations
SINCLAIR laboratory
https://sinclair-lab.com
GIS LARTISSTE
https://uq-at-paris-saclay.github.io