Stéphane Girard

According to our database, Stéphane Girard authored at least 50 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Estimation of extreme quantiles from heavy-tailed distributions with neural networks.

Michaël Allouche, Stéphane Girard, Emmanuel Gobet

Stat. Comput., February, 2024

2023

Reparameterization of extreme value framework for improved Bayesian workflow.

Théo Moins, Julyan Arbel, Stéphane Girard, Anne Dutfoy

Comput. Stat. Data Anal., November, 2023

Extreme partial least-squares.

Meryem Bousebata, Geoffroy Enjolras, Stéphane Girard

J. Multivar. Anal., 2023

2022

Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series.

Alexandre Constantin, Mathieu Fauvel, Stéphane Girard

IEEE Trans. Geosci. Remote. Sens., 2022

On automatic bias reduction for extreme expectile estimation.

Stéphane Girard, Gilles Stupfler, Antoine Usseglio-Carleve

Stat. Comput., 2022

Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series.

Alexandre Constantin, Mathieu Fauvel, Stéphane Girard

Stat. Comput., 2022

Advanced topics in Sliced Inverse Regression.

Stéphane Girard, Hadrien Lorenzo, Jérôme Saracco

J. Multivar. Anal., 2022

EV-GAN: Simulation of extreme events with ReLU neural networks.

Michaël Allouche, Stéphane Girard, Emmanuel Gobet

J. Mach. Learn. Res., 2022

A generative model for fBm with deep ReLU neural networks.

Michaël Allouche, Stéphane Girard, Emmanuel Gobet

J. Complex., 2022

2021

Bayesian neural network unit priors and generalized Weibull-tail property.

Mariia Vladimirova, Julyan Arbel, Stéphane Girard

Proceedings of the Asian Conference on Machine Learning, 2021

2019

Dependence properties and Bayesian inference for asymmetric multivariate copulas.

Julyan Arbel, Marta Crispino, Stéphane Girard

J. Multivar. Anal., 2019

2018

Extreme-value-theoretic estimation of local intrinsic dimensionality.

Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett

Data Min. Knowl. Discov., 2018

2017

Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation.

Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard

Remote. Sens., 2017

Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels.

Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren

Remote. Sens., 2017

Student Sliced Inverse Regression.

Alessandro Chiancone, Florence Forbes, Stéphane Girard

Comput. Stat. Data Anal., 2017

Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices.

Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard

Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

2016

A flexible and tractable class of one-factor copulas.

Gildas Mazo, Stéphane Girard, Florence Forbes

Stat. Comput., 2016

On the estimation of the functional Weibull tail-coefficient.

Laurent Gardes, Stéphane Girard

J. Multivar. Anal., 2016

Marshall-Olkin type copulas generated by a global shock.

Fabrizio Durante, Stéphane Girard, Gildas Mazo

J. Comput. Appl. Math., 2016

High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series.

Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Kernel discriminant analysis and clustering with parsimonious Gaussian process models.

Charles Bouveyron, Mathieu Fauvel, Stéphane Girard

Stat. Comput., 2015

A class of multivariate copulas based on products of bivariate copulas.

Gildas Mazo, Stéphane Girard, Florence Forbes

J. Multivar. Anal., 2015

Nonparametric estimation of the conditional tail copula.

Laurent Gardes, Stéphane Girard

J. Multivar. Anal., 2015

Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images.

Mathieu Fauvel, Charles Bouveyron, Stéphane Girard

IEEE Geosci. Remote. Sens. Lett., 2015

Estimating Local Intrinsic Dimensionality.

Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

A sliced inverse regression approach for data stream.

Marie Chavent, Stéphane Girard, Vanessa Kuentz-Simonet, Benoit Liquet, Thi Mong Ngoc Nguyen, Jérôme Saracco

Comput. Stat., 2014

A new sliced inverse regression method for multivariate response.

Raphaël Coudret, Stéphane Girard, Jérôme Saracco

Comput. Stat. Data Anal., 2014

L 1-optimal linear programming estimator for periodic frontier functions with Hölder continuous derivative.

Alexander V. Nazin, Stéphane Girard

Autom. Remote. Control., 2014

Parsimonious Gaussian process models for the classification of multivariate remote sensing images.

Mathieu Fauvel, Charles Bouveyron, Stéphane Girard

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Frontier estimation with kernel regression on high order moments.

Stéphane Girard, Armelle Guillou, Gilles Stupfler

J. Multivar. Anal., 2013

A gate level methodology for efficient statistical leakage estimation in complex 32nm circuits.

Smriti Joshi, Anne Lombardot, Marc Belleville, Edith Beigné, Stéphane Girard

Proceedings of the Design, Automation and Test in Europe, 2013

2012

Statistical Estimation of Dominant Physical Parameters for Leakage Variability in 32 Nanometer CMOS, Under Supply Voltage Variations.

Smriti Joshi, Anne Lombardot, Philippe Flatresse, Carmelo D'Agostino, Andre Juge, Edith Beigné, Stéphane Girard

J. Low Power Electron., 2012

2011

Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA.

Charles Bouveyron, Gilles Celeux, Stéphane Girard

Pattern Recognit. Lett., 2011

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

Robust supervised classification with mixture models: Learning from data with uncertain labels.

Charles Bouveyron, Stéphane Girard

Pattern Recognit., 2009

Classification supervisée et non supervisée en grande dimension.

Charles Bouveyron, Stéphane Girard

Monde des Util. Anal. Données, 2009

Frontier estimation with local polynomials and high power-transformed data.

Stéphane Girard, Pierre Jacob

J. Multivar. Anal., 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

Maximum likelihood estimation of the flow size distribution tail index from sampled packet data.

Patrick Loiseau, Paulo Gonçalves, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet

Proceedings of the Eleventh International Joint Conference on Measurement and Modeling of Computer Systems, 2009

Supervised classification of categorical data with uncertain labels for DNA barcoding.

Charles Bouveyron, Stéphane Girard, Madalina Olteanu

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

2007

High-dimensional data clustering.

Charles Bouveyron, Stéphane Girard, Cordelia Schmid

Comput. Stat. Data Anal., 2007

2006

Object Localization by Subspace Clustering of Local Descriptors.

Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard

Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

2005

Class-Specific Subspace Discriminant Analysis for High-Dimensional Data.

Charles Bouveyron, Stéphane Girard, Cordelia Schmid

Proceedings of the Subspace, 2005

2004

Implémentation en C d'estimateurs non paramétriques de quantiles conditionnels. Application au tracé de courbes de référence.

Ali Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco

Monde des Util. Anal. Données, 2004

Sliced inverse regression in reference curves estimation.

Ali Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco

Comput. Stat. Data Anal., 2004

2003

Le logiciel EXTREMES, un outil pour l'étude des queues de distribution.

Jean Diebolt, Jérôme Ecarnot, Myriam Garrido, Stéphane Girard, Dominique Lagrange

Monde des Util. Anal. Données, 2003

2000

A nonlinear PCA based on manifold approximation.

Stéphane Girard

Comput. Stat., 2000