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ORCIDStéphane Girard
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2020 – today
- 2024
[j38]Michaël Allouche, Stéphane Girard, Emmanuel Gobet:
Estimation of extreme quantiles from heavy-tailed distributions with neural networks. Stat. Comput. 34(1): 12 (2024)- [j37]Julyan Arbel, Stéphane Girard, Hadrien Lorenzo:
Shrinkage for extreme partial least-squares. Stat. Comput. 34(6): 181 (2024) - 2023
- [j36]Théo Moins, Julyan Arbel
, Stéphane Girard, Anne Dutfoy:
Reparameterization of extreme value framework for improved Bayesian workflow. Comput. Stat. Data Anal. 187: 107807 (2023) - [j35]Meryem Bousebata, Geoffroy Enjolras, Stéphane Girard:
Extreme partial least-squares. J. Multivar. Anal. 194: 105101 (2023) - 2022
- [j34]Michaël Allouche, Stéphane Girard, Emmanuel Gobet:
A generative model for fBm with deep ReLU neural networks. J. Complex. 73: 101667 (2022) - [j33]Michaël Allouche, Stéphane Girard, Emmanuel Gobet:
EV-GAN: Simulation of extreme events with ReLU neural networks. J. Mach. Learn. Res. 23: 150:1-150:39 (2022) - [j32]Stéphane Girard, Hadrien Lorenzo, Jérôme Saracco:
Advanced topics in Sliced Inverse Regression. J. Multivar. Anal. 188: 104852 (2022) - [j31]Stéphane Girard, Gilles Stupfler, Antoine Usseglio-Carleve:
On automatic bias reduction for extreme expectile estimation. Stat. Comput. 32(4): 64 (2022) - [j30]Alexandre Constantin, Mathieu Fauvel, Stéphane Girard:
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series. Stat. Comput. 32(5): 79 (2022) - [j29]Alexandre Constantin, Mathieu Fauvel, Stéphane Girard:
Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [c13]Mariia Vladimirova, Julyan Arbel, Stéphane Girard:
Bayesian neural network unit priors and generalized Weibull-tail property. ACML 2021: 1397-1412 - [i1]Mariia Vladimirova, Julyan Arbel, Stéphane Girard:
Bayesian neural network unit priors and generalized Weibull-tail property. CoRR abs/2110.02885 (2021)
2010 – 2019
- 2019
- [j28]Julyan Arbel, Marta Crispino, Stéphane Girard:
Dependence properties and Bayesian inference for asymmetric multivariate copulas. J. Multivar. Anal. 174 (2019) - 2018
- [j27]Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett:
Extreme-value-theoretic estimation of local intrinsic dimensionality. Data Min. Knowl. Discov. 32(6): 1768-1805 (2018) - 2017
- [j26]Alessandro Chiancone, Florence Forbes, Stéphane Girard:
Student Sliced Inverse Regression. Comput. Stat. Data Anal. 113: 441-456 (2017) - [j25]Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren:
Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels. Remote. Sens. 9(7): 688 (2017) - [j24]Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard:
Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation. Remote. Sens. 9(10): 993 (2017) - [c12]Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard:
Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices. MultiTemp 2017: 1-4 - 2016
- [j23]Fabrizio Durante, Stéphane Girard, Gildas Mazo:
Marshall-Olkin type copulas generated by a global shock. J. Comput. Appl. Math. 296: 638-648 (2016) - [j22]Laurent Gardes, Stéphane Girard:
On the estimation of the functional Weibull tail-coefficient. J. Multivar. Anal. 146: 29-45 (2016) - [j21]Gildas Mazo, Stéphane Girard, Florence Forbes:
A flexible and tractable class of one-factor copulas. Stat. Comput. 26(5): 965-979 (2016) - [c11]Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren:
High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series. IGARSS 2016: 3342-3345 - 2015
- [j20]Mathieu Fauvel, Charles Bouveyron, Stéphane Girard:
Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 12(12): 2423-2427 (2015) - [j19]Laurent Gardes, Stéphane Girard:
Nonparametric estimation of the conditional tail copula. J. Multivar. Anal. 137: 1-16 (2015) - [j18]Gildas Mazo, Stéphane Girard, Florence Forbes:
A class of multivariate copulas based on products of bivariate copulas. J. Multivar. Anal. 140: 363-376 (2015) - [j17]Charles Bouveyron, Mathieu Fauvel, Stéphane Girard:
Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Stat. Comput. 25(6): 1143-1162 (2015) - [c10]Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett:
Estimating Local Intrinsic Dimensionality. KDD 2015: 29-38 - 2014
- [j16]Alexander V. Nazin, Stéphane Girard:
L 1-optimal linear programming estimator for periodic frontier functions with Hölder continuous derivative. Autom. Remote. Control. 75(12): 2152-2169 (2014) - [j15]Raphaël Coudret, Stéphane Girard, Jérôme Saracco:
A new sliced inverse regression method for multivariate response. Comput. Stat. Data Anal. 77: 285-299 (2014) - [j14]Marie Chavent, Stéphane Girard, Vanessa Kuentz-Simonet, Benoit Liquet, Thi Mong Ngoc Nguyen, Jérôme Saracco:
A sliced inverse regression approach for data stream. Comput. Stat. 29(5): 1129-1152 (2014) - [c9]Mathieu Fauvel, Charles Bouveyron, Stéphane Girard:
Parsimonious Gaussian process models for the classification of multivariate remote sensing images. ICASSP 2014: 2913-2916 - 2013
- [j13]Stéphane Girard, Armelle Guillou, Gilles Stupfler:
Frontier estimation with kernel regression on high order moments. J. Multivar. Anal. 116: 172-189 (2013) - [c8]Smriti Joshi, Anne Lombardot, Marc Belleville, Edith Beigné, Stéphane Girard:
A gate level methodology for efficient statistical leakage estimation in complex 32nm circuits. DATE 2013: 1056-1057 - 2012
- [j12]Smriti Joshi, Anne Lombardot, Philippe Flatresse, Carmelo D'Agostino, Andre Juge, Edith Beigné, Stéphane Girard:
Statistical Estimation of Dominant Physical Parameters for Leakage Variability in 32 Nanometer CMOS, Under Supply Voltage Variations. J. Low Power Electron. 8(1): 113-124 (2012) - 2011
- [j11]Charles Bouveyron, Gilles Celeux, Stéphane Girard:
Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA. Pattern Recognit. Lett. 32(14): 1706-1713 (2011) - 2010
- [j10]Laurent Gardes, Stéphane Girard, Alexandre Lekina:
Functional nonparametric estimation of conditional extreme quantiles. J. Multivar. Anal. 101(2): 419-433 (2010)
2000 – 2009
- 2009
- [j9]Stéphane Girard, Pierre Jacob:
Frontier estimation with local polynomials and high power-transformed data. J. Multivar. Anal. 100(8): 1691-1705 (2009) - [j8]Charles Bouveyron, Stéphane Girard:
Classification supervisée et non supervisée en grande dimension. Monde des Util. Anal. Données 40: 81-102 (2009) - [j7]Charles Bouveyron, Stéphane Girard:
Robust supervised classification with mixture models: Learning from data with uncertain labels. Pattern Recognit. 42(11): 2649-2658 (2009) - [j6]Caroline Bernard-Michel, Laurent Gardes, Stéphane Girard:
Gaussian Regularized Sliced Inverse Regression. Stat. Comput. 19(1): 85-98 (2009) - [c7]Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard:
Support vectors machines regression for estimation of mars surface physical properties. ESANN 2009 - [c6]Charles Bouveyron, Stéphane Girard, Madalina Olteanu:
Supervised classification of categorical data with uncertain labels for DNA barcoding. ESANN 2009 - [c5]Patrick Loiseau, Paulo Gonçalves, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet:
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. SIGMETRICS/Performance 2009: 263-274 - [c4]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
- [c3]Caroline Bernard-Michel, Sylvain Douté, Laurent Gardes, Stéphane Girard:
Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression. ESANN 2008: 463-468 - 2007
- [j5]Charles Bouveyron, Stéphane Girard, Cordelia Schmid:
High-dimensional data clustering. Comput. Stat. Data Anal. 52(1): 502-519 (2007) - 2006
- [c2]Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard:
Object Localization by Subspace Clustering of Local Descriptors. ICVGIP 2006: 457-467 - 2005
- [c1]Charles Bouveyron, Stéphane Girard, Cordelia Schmid:
Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. SLSFS 2005: 139-150 - 2004
- [j4]Ali Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco:
Sliced inverse regression in reference curves estimation. Comput. Stat. Data Anal. 46(1): 103-122 (2004) - [j3]Ali Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco:
Implémentation en C d'estimateurs non paramétriques de quantiles conditionnels. Application au tracé de courbes de référence. Monde des Util. Anal. Données 31: 51-62 (2004) - 2003
- [j2]Jean Diebolt, Jérôme Ecarnot, Myriam Garrido, Stéphane Girard, Dominique Lagrange:
Le logiciel EXTREMES, un outil pour l'étude des queues de distribution. Monde des Util. Anal. Données 30: 50-57 (2003) - 2000
- [j1]Stéphane Girard:
A nonlinear PCA based on manifold approximation. Comput. Stat. 15(2): 145-167 (2000)
Coauthor Index
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last updated on 2024-10-07 21:12 CEST by the dblp team
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