Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression. - Caroline Bernard-Michel; Sylvain Douté; Laurent Gardes; Stéphane Girard (ESANN, 2008)

Support vectors machines regression for estimation of mars surface physical properties. - Caroline Bernard-Michel; Sylvain Douté; Mathieu Fauvel; Laurent Gardes; Stéphane Girard (ESANN, 2009)

Machine learning techniques for the inversion of planetary hyperspectral images. - Caroline Bernard-Michel; Sylvain Douté; Mathieu Fauvel; Laurent Gardes; Stéphane Girard (WHISPERS, 2009)

Gaussian Regularized Sliced Inverse Regression. - Caroline Bernard-Michel; Laurent Gardes; Stéphane Girard (Stat. Comput., 2009)

Functional nonparametric estimation of conditional extreme quantiles. - Laurent Gardes; Stéphane Girard; Alexandre Lekina (J. Multivar. Anal., 2010)

Nonparametric estimation of the conditional tail copula. - Laurent Gardes; Stéphane Girard (J. Multivar. Anal., 2015)

On the estimation of the functional Weibull tail-coefficient. - Laurent Gardes; Stéphane Girard (J. Multivar. Anal., 2016)

Ensuring Dataset Quality for Machine Learning Certification. - Sylvaine Picard; Camille Chapdelaine; Cyril Cappi; Laurent Gardes; Eric Jenn; Baptiste Lefèvre; Thomas Soumarmon (ISSRE Workshops, 2020)

Dataset Definition Standard (DDS). - Cyril Cappi; Camille Chapdelaine; Laurent Gardes; Eric Jenn; Baptiste Lefèvre; Sylvaine Picard; Thomas Soumarmon (CoRR, 2021)

White Paper Machine Learning in Certified Systems. - Hervé Delseny; Christophe Gabreau; Adrien Gauffriau; Bernard Beaudouin; Ludovic Ponsolle; Lucian Alecu; Hugues Bonnin; Brice Beltran; Didier Duchel; Jean-Brice Ginestet; Alexandre Hervieu; Ghilaine Martinez; et al. (CoRR, 2021)

Xplique: A Deep Learning Explainability Toolbox. - Thomas Fel; Lucas Hervier; David Vigouroux; Antonin Poché; Justin Plakoo; Rémi Cadène; Mathieu Chalvidal; Julien Colin; Thibaut Boissin; Louis Béthune; Agustin Martin Picard; Claire Nicodeme; et al. (CoRR, 2022)

Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. - Thomas Fel; Thibaut Boissin; Victor Boutin; Agustin Picard; Paul Novello; Julien Colin; Drew Linsley; Tom Rousseau; Rémi Cadène; Lore Goetschalckx; Laurent Gardes; Thomas Serre (NeurIPS, 2023)

TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization. - Yifan Xu; Pourya Shamsolmoali; Eric Granger; Claire Nicodeme; Laurent Gardes; Jie Yang 002 (WACV, 2023)

Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. - Thomas Fel; Thibaut Boissin; Victor Boutin; Agustin Martin Picard; Paul Novello; Julien Colin; Drew Linsley; Tom Rousseau; Rémi Cadène; Laurent Gardes; Thomas Serre (CoRR, 2023)

How to design a dataset compliant with an ML-based system ODD? - Cyril Cappi; Noémie Cohen; Mélanie Ducoffe; Christophe Gabreau; Laurent Gardes; Adrien Gauffriau; Jean-Brice Ginestet; Franck Mamalet; Vincent Mussot; Claire Pagetti; David Vigouroux (CoRR, 2024)