Laurent Gardes

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 9

Top Topics

Unconstrained Optimization

Penalty Functions

Benchmark Datasets

Top Venues

J. Multivar. Anal.

ISSRE Workshops

Publications

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 (2024)
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)
Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin 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 (2023)
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)
Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poche, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre
Xplique: A Deep Learning Explainability Toolbox. CoRR (2022)
Cyril Cappi, Camille Chapdelaine, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Sylvaine Picard, Thomas Soumarmon
Dataset Definition Standard (DDS). CoRR (2021)
Sylvaine Picard, Camille Chapdelaine, Cyril Cappi, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Thomas Soumarmon
Ensuring Dataset Quality for Machine Learning Certification. ISSRE Workshops (2020)
Sylvaine Picard, Camille Chapdelaine, Cyril Cappi, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Thomas Soumarmon
Ensuring Dataset Quality for Machine Learning Certification. CoRR (2020)
Laurent Gardes, Stéphane Girard
On the estimation of the functional Weibull tail-coefficient. J. Multivar. Anal. 146 (2016)
Laurent Gardes, Stéphane Girard
Nonparametric estimation of the conditional tail copula. J. Multivar. Anal. 137 (2015)
Laurent Gardes, Stéphane Girard, Alexandre Lekina
Functional nonparametric estimation of conditional extreme quantiles. J. Multivar. Anal. 101 (2) (2010)
Caroline Bernard-Michel, Laurent Gardes, Stéphane Girard
Gaussian Regularized Sliced Inverse Regression. Stat. Comput. 19 (1) (2009)
Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard
Support vectors machines regression for estimation of mars surface physical properties. ESANN (2009)
Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard
Machine learning techniques for the inversion of planetary hyperspectral images. WHISPERS (2009)
Caroline Bernard-Michel, Sylvain Douté, Laurent Gardes, Stéphane Girard
Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression. ESANN (2008)