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2020 – today
- 2024
[i6]Cyril Cappi, Noémie Cohen, Mélanie Ducoffe, Christophe Gabreau, Laurent Gardes, Adrien Gauffriau, Jean-Brice Ginestet, Franck Mamalet, Vincent Mussot, Claire Pagetti, David Vigouroux:
How to design a dataset compliant with an ML-based system ODD? CoRR abs/2406.14027 (2024)- 2023
- [c6]Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre:
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS 2023 - [c5]Yifan Xu, Pourya Shamsolmoali, Eric Granger
, Claire Nicodeme, Laurent Gardes, Jie Yang:
TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization. WACV 2023: 2839-2848 - [i5]Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre:
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR abs/2306.06805 (2023) - 2022
- [i4]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, Laurent Gardes, Grégory Flandin, Thomas Serre:
Xplique: A Deep Learning Explainability Toolbox. CoRR abs/2206.04394 (2022) - 2021
- [i3]Cyril Cappi, Camille Chapdelaine, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Sylvaine Picard, Thomas Soumarmon:
Dataset Definition Standard (DDS). CoRR abs/2101.03020 (2021) - [i2]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, Sylvain Pasquet, Kevin Delmas, Claire Pagetti, Jean-Marc Gabriel, Camille Chapdelaine, Sylvaine Picard, Mathieu Damour, Cyril Cappi, Laurent Gardès, Florence de Grancey, Eric Jenn, Baptiste Lefèvre, Grégory Flandin, Sébastien Gerchinovitz, Franck Mamalet, Alexandre Albore:
White Paper Machine Learning in Certified Systems. CoRR abs/2103.10529 (2021) - 2020
- [c4]Sylvaine Picard, Camille Chapdelaine, Cyril Cappi, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Thomas Soumarmon:
Ensuring Dataset Quality for Machine Learning Certification. ISSRE Workshops 2020: 275-282 - [i1]Sylvaine Picard, Camille Chapdelaine, Cyril Cappi, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Thomas Soumarmon:
Ensuring Dataset Quality for Machine Learning Certification. CoRR abs/2011.01799 (2020)
2010 – 2019
- 2016
- [j4]Laurent Gardes, Stéphane Girard:
On the estimation of the functional Weibull tail-coefficient. J. Multivar. Anal. 146: 29-45 (2016) - 2015
- [j3]Laurent Gardes, Stéphane Girard:
Nonparametric estimation of the conditional tail copula. J. Multivar. Anal. 137: 1-16 (2015) - 2010
- [j2]Laurent Gardes, Stéphane Girard, Alexandre Lekina:
Functional nonparametric estimation of conditional extreme quantiles. J. Multivar. Anal. 101(2): 419-433 (2010)
2000 – 2009
- 2009
- [j1]Caroline Bernard-Michel, Laurent Gardes, Stéphane Girard:
Gaussian Regularized Sliced Inverse Regression. Stat. Comput. 19(1): 85-98 (2009) - [c3]Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard:
Support vectors machines regression for estimation of mars surface physical properties. ESANN 2009 - [c2]Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard:
Machine learning techniques for the inversion of planetary hyperspectral images. WHISPERS 2009: 1-4 - 2008
- [c1]Caroline Bernard-Michel, Sylvain Douté, Laurent Gardes, Stéphane Girard:
Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression. ESANN 2008: 463-468
Coauthor Index
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