Laurent Gardes

According to our database, Laurent Gardes authored at least 15 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

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

TransVLAD: Multi-Scale Attention-Based Global Descriptors for Visual Geo-Localization.

Yifan Xu, Pourya Shamsolmoali, Eric Granger, Claire Nicodeme, Laurent Gardes, Jie Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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, Laurent Gardes, Grégory Flandin, Thomas Serre

CoRR, 2022

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, 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

CoRR, 2021

Dataset Definition Standard (DDS).

Cyril Cappi, Camille Chapdelaine, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Sylvaine Picard, Thomas Soumarmon

CoRR, 2021

2020

Ensuring Dataset Quality for Machine Learning Certification.

Sylvaine Picard, Camille Chapdelaine, Cyril Cappi, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Thomas Soumarmon

Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

2016

On the estimation of the functional Weibull tail-coefficient.

Laurent Gardes, Stéphane Girard

J. Multivar. Anal., 2016

2015

Nonparametric estimation of the conditional tail copula.

Laurent Gardes, Stéphane Girard

J. Multivar. Anal., 2015

2010

Functional nonparametric estimation of conditional extreme quantiles.

Laurent Gardes, Stéphane Girard, Alexandre Lekina

J. Multivar. Anal., 2010

2009

Gaussian Regularized Sliced Inverse Regression.

Caroline Bernard-Michel, Laurent Gardes, Stéphane Girard

Stat. Comput., 2009

Machine learning techniques for the inversion of planetary hyperspectral images.

Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard

Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Support vectors machines regression for estimation of mars surface physical properties.

Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression.

Caroline Bernard-Michel, Sylvain Douté, Laurent Gardes, Stéphane Girard

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008