Stéphane Girard

54 papers A* 1A 1B 3C 2Misc 1Journal 41Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning extreme expected shortfall and conditional tail moments with neural networks. Application to cryptocurrency data. Neural Networks Michaël Allouche, Stéphane Girard, Emmanuel Gobet
2024	J	`jnl`	Estimation of extreme quantiles from heavy-tailed distributions with neural networks. Stat. Comput. Michaël Allouche, Stéphane Girard, Emmanuel Gobet
2024	J	`jnl`	Shrinkage for extreme partial least-squares. Stat. Comput. Julyan Arbel, Stéphane Girard, Hadrien Lorenzo
2023	J	`jnl`	Extreme partial least-squares. J. Multivar. Anal. Meryem Bousebata, Geoffroy Enjolras, Stéphane Girard
2023	J	`jnl`	Reparameterization of extreme value framework for improved Bayesian workflow. Comput. Stat. Data Anal. Théo Moins, Julyan Arbel, Stéphane Girard, Anne Dutfoy
2022	J	`jnl`	A generative model for fBm with deep ReLU neural networks. J. Complex. Michaël Allouche, Stéphane Girard, Emmanuel Gobet
2022	J	`jnl`	Advanced topics in Sliced Inverse Regression. J. Multivar. Anal. Stéphane Girard, Hadrien Lorenzo, Jérôme Saracco
2022	J	`jnl`	EV-GAN: Simulation of extreme events with ReLU neural networks. J. Mach. Learn. Res. Michaël Allouche, Stéphane Girard, Emmanuel Gobet
2022	J	`jnl`	Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series. IEEE Trans. Geosci. Remote. Sens. Alexandre Constantin, Mathieu Fauvel, Stéphane Girard
2022	J	`jnl`	Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series. Stat. Comput. Alexandre Constantin, Mathieu Fauvel, Stéphane Girard
2022	J	`jnl`	On automatic bias reduction for extreme expectile estimation. Stat. Comput. Stéphane Girard, Gilles Stupfler, Antoine Usseglio-Carleve
2021	C	`conf`	Bayesian neural network unit priors and generalized Weibull-tail property. ACML Mariia Vladimirova, Julyan Arbel, Stéphane Girard
2021	J	`jnl`	Bayesian neural network unit priors and generalized Weibull-tail property. CoRR Mariia Vladimirova, Julyan Arbel, Stéphane Girard
2019	J	`jnl`	Dependence properties and Bayesian inference for asymmetric multivariate copulas. J. Multivar. Anal. Julyan Arbel, Marta Crispino, Stéphane Girard
2018	J	`jnl`	Extreme-value-theoretic estimation of local intrinsic dimensionality. Data Min. Knowl. Discov. Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
2017	J	`jnl`	Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels. Remote. Sens. Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren
2017	—	`conf`	Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices. MultiTemp Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard
2017	J	`jnl`	Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation. Remote. Sens. Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard
2017	J	`jnl`	Student Sliced Inverse Regression. Comput. Stat. Data Anal. Alessandro Chiancone, Florence Forbes, Stéphane Girard
2016	J	`jnl`	A flexible and tractable class of one-factor copulas. Stat. Comput. Gildas Mazo, Stéphane Girard, Florence Forbes
2016	C	`conf`	High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series. IGARSS Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren
2016	J	`jnl`	Marshall-Olkin type copulas generated by a global shock. J. Comput. Appl. Math. Fabrizio Durante, Stéphane Girard, Gildas Mazo
2016	J	`jnl`	On the estimation of the functional Weibull tail-coefficient. J. Multivar. Anal. Laurent Gardes, Stéphane Girard
2015	J	`jnl`	A class of multivariate copulas based on products of bivariate copulas. J. Multivar. Anal. Gildas Mazo, Stéphane Girard, Florence Forbes
2015	A*	`conf`	Estimating Local Intrinsic Dimensionality. KDD Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
2015	J	`jnl`	Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Stat. Comput. Charles Bouveyron, Mathieu Fauvel, Stéphane Girard
2015	J	`jnl`	Nonparametric estimation of the conditional tail copula. J. Multivar. Anal. Laurent Gardes, Stéphane Girard
2015	J	`jnl`	Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
2014	J	`jnl`	A new sliced inverse regression method for multivariate response. Comput. Stat. Data Anal. Raphaël Coudret, Stéphane Girard, Jérôme Saracco
2014	J	`jnl`	A sliced inverse regression approach for data stream. Comput. Stat. Marie Chavent, Stéphane Girard, Vanessa Kuentz-Simonet, Benoit Liquet, Thi Mong Ngoc Nguyen, Jérôme Saracco
2014	J	`jnl`	L 1-optimal linear programming estimator for periodic frontier functions with Hölder continuous derivative. Autom. Remote. Control. Alexander V. Nazin, Stéphane Girard
2014	Misc	`conf`	Parsimonious Gaussian process models for the classification of multivariate remote sensing images. ICASSP Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
2013	A	`conf`	A gate level methodology for efficient statistical leakage estimation in complex 32nm circuits. DATE Smriti Joshi, Anne Lombardot, Marc Belleville, Edith Beigné, Stéphane Girard
2013	J	`jnl`	Frontier estimation with kernel regression on high order moments. J. Multivar. Anal. Stéphane Girard, Armelle Guillou, Gilles Stupfler
2012	J	`jnl`	Statistical Estimation of Dominant Physical Parameters for Leakage Variability in 32 Nanometer CMOS, Under Supply Voltage Variations. J. Low Power Electron. Smriti Joshi, Anne Lombardot, Philippe Flatresse, Carmelo D'Agostino, Andre Juge, Edith Beigné, Stéphane Girard
2011	J	`jnl`	Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA. Pattern Recognit. Lett. Charles Bouveyron, Gilles Celeux, Stéphane Girard
2010	J	`jnl`	Functional nonparametric estimation of conditional extreme quantiles. J. Multivar. Anal. Laurent Gardes, Stéphane Girard, Alexandre Lekina
2009	J	`jnl`	Classification supervisée et non supervisée en grande dimension. Monde des Util. Anal. Données Charles Bouveyron, Stéphane Girard
2009	J	`jnl`	Frontier estimation with local polynomials and high power-transformed data. J. Multivar. Anal. Stéphane Girard, Pierre Jacob
2009	J	`jnl`	Gaussian Regularized Sliced Inverse Regression. Stat. Comput. Caroline Bernard-Michel, Laurent Gardes, Stéphane Girard
2009	—	`conf`	Machine learning techniques for the inversion of planetary hyperspectral images. WHISPERS Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard
2009	—	`conf`	Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. SIGMETRICS/Performance Patrick Loiseau, Paulo Gonçalves, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet
2009	J	`jnl`	Robust supervised classification with mixture models: Learning from data with uncertain labels. Pattern Recognit. Charles Bouveyron, Stéphane Girard
2009	B	`conf`	Supervised classification of categorical data with uncertain labels for DNA barcoding. ESANN Charles Bouveyron, Stéphane Girard, Madalina Olteanu
2009	B	`conf`	Support vectors machines regression for estimation of mars surface physical properties. ESANN Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard
2008	B	`conf`	Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression. ESANN Caroline Bernard-Michel, Sylvain Douté, Laurent Gardes, Stéphane Girard
2007	J	`jnl`	High-dimensional data clustering. Comput. Stat. Data Anal. Charles Bouveyron, Stéphane Girard, Cordelia Schmid
2006	—	`conf`	Object Localization by Subspace Clustering of Local Descriptors. ICVGIP Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard
2005	—	`conf`	Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. SLSFS Charles Bouveyron, Stéphane Girard, Cordelia Schmid
2004	J	`jnl`	Implémentation en C d'estimateurs non paramétriques de quantiles conditionnels. Application au tracé de courbes de référence. Monde des Util. Anal. Données Ali Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco
2004	J	`jnl`	Sliced inverse regression in reference curves estimation. Comput. Stat. Data Anal. Ali Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco
2003	J	`jnl`	Le logiciel EXTREMES, un outil pour l'étude des queues de distribution. Monde des Util. Anal. Données Jean Diebolt, Jérôme Ecarnot, Myriam Garrido, Stéphane Girard, Dominique Lagrange
2000	J	`jnl`	A nonlinear PCA based on manifold approximation. Comput. Stat. Stéphane Girard
1999	J	`jnl`	Nonlinear Modeling of Scattered Multivariate Data and Its Application to Shape Change. IEEE Trans. Pattern Anal. Mach. Intell. Bernard Chalmond, Stéphane Girard