Publications Récentes
Article dans une revue
Chifaa Ghanmi, Saloua Mani Aouadi, Faouzi Triki
Recovering the initial condition in the One-Phase Stefan problem
Discrete and Continuous Dynamical Systems - Series S, 2022, 15 (5), pp.1143-1164. ⟨10.3934/dcdss.2021087⟩
Article dans une revue
Alexandre Constantin, Mathieu Fauvel, Stéphane Girard
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series
Statistics and Computing, 2022, 32 (5), pp.79. ⟨10.1007/s11222-022-10145-8⟩
Article dans une revue
Chen Yang, Biao Hou, Jocelyn Chanussot, Yue Hu, Bo Ren, Shuang Wang, Licheng Jiao
N-Cluster Loss and Hard Sample Generative Deep Metric Learning for PolSAR Image Classification
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.5210516. ⟨10.1109/TGRS.2021.3099840⟩
Article dans une revue
Swalpa Kumar Roy, Purbayan Kar, Danfeng Hong, Xin Wu, Antonio Plaza, Jocelyn Chanussot
Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.5516619. ⟨10.1109/TGRS.2021.3120198⟩
Article dans une revue
Chen Yang, Biao Hou, Xianpeng Guo, Bo Ren, Jocelyn Chanussot, Shuang Wang, Licheng Jiao
Reconstruction Error-Based Decomposition Feature Selection for PolSAR Image
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.5216719. ⟨10.1109/TGRS.2021.3125323⟩
Chapitre d'ouvrage
Frédérick Garcia, Pierre P. Labarthe, Emmanuel Prados, Véronique Bellon Maurel, Grégoire Chambaz
Risks
Agriculture and Digital Technology: Getting the most out of digital technology to contribute to the transition to sustainable agriculture and food systems, White book (6), INRIA, 2022, Agriculture and Digital technology, ISBN 978-2-7261-1310-3
Pré-publication, Document de travail
Michaël Allouche, Stéphane Girard, Emmanuel Gobet
Estimation of extreme quantiles from heavy-tailed distributions with neural networks
2022
Article dans une revue
Aude Maignan, L. Prabhat Reddy, Sibibalan Jeevanandam, P.C. Deshmukh, Ken Roberts, Najeh Jisrawi, S.R. Valluri
The electronic properties of graphene nanoribbons and the offset logarithm function
Materials Today: Proceedings, 2022, 54 (1), pp.7-13. ⟨10.1016/j.matpr.2021.05.338⟩
Article dans une revue
Anatoli B. Juditsky, Georgios Kotsalis, Arkadi Nemirovski
Tight computationally efficient approximation of matrix norms with applications
Open Journal of Mathematical Optimization, 2022, 3, pp.1-38. ⟨10.5802/ojmo.19⟩
Article dans une revue
Xavier Jonsson, Jérôme Lelong
Rare event simulation for electronic circuit design
MathematicS In Action, 2022, 11 (1), pp.91-108. ⟨10.5802/msia.19⟩
Article dans une revue
Michaël Allouche, Stéphane Girard, Emmanuel Gobet
EV-GAN: Simulation of extreme events with ReLU neural networks
Journal of Machine Learning Research, 2022, 23 (150), pp.1--39
Chapitre d'ouvrage
Di Meng, Eslam Mohammed, Edmond Boyer, Sergi Pujades
Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle
Chunfeng Lian; Xiaohuan Cao; Islem Rekik; Xuanang Xu; Zhiming Cui. MLMI 2022: Machine Learning in Medical Imaging, 13583, Springer, pp.307-317, 2022, Lecture Notes in Computer Science, 978-3-031-21013-6. ⟨10.1007/978-3-031-21014-3_32⟩
Article dans une revue
William Pierré, Lionel Hervé, Chiara Paviolo, Ondrej Mandula, Vincent Remondiere, Sophie Morales, Sergei Grudinin, Pierre Ray, Magali Dhellemmes, Christophe Arnoult, Cédric Allier
3D time-lapse imaging of a mouse embryo using intensity diffraction tomography embedded inside a deep learning framework
Applied optics, 2022, 61 (12), pp.3337. ⟨10.1364/AO.453910⟩
Article dans une revue
Katarina Radišić, Emilie Rouzies, Claire Lauvernet, Arthur Vidard
Global sensitivity analysis of the dynamics of a distributed hydrological model at the catchment scale
Socio-Environmental Systems Modelling, In press, pp.1-17
Article dans une revue
Chen Yang, Biao Hou, Qian Wu, Bo Ren, Jocelyn Chanussot, Shuang Wang, Licheng Jiao
PDFL: Polarimetric Decomposition Feature Learning via Deep Autoencoder
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.5240917. ⟨10.1109/TGRS.2022.3228791⟩
Article dans une revue
Hongyi Liu, Youkang Lu, Zebin Wu, Qian Du, Jocelyn Chanussot, Zhihui Wei
Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.5503515. ⟨10.1109/TGRS.2021.3064708⟩
Article dans une revue
Jie Xie, Leyuan Fang, Bob Zhang, Jocelyn Chanussot, Shutao Li
Super Resolution Guided Deep Network for Land Cover Classification From Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.5611812. ⟨10.1109/TGRS.2021.3120891⟩
Article dans une revue
Quentin Clairon, Adeline Samson
Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations
Computational Statistics, 2022, 37, pp.2471-2491. ⟨10.1007/s00180-022-01212-9⟩
Article dans une revue
Jordi Bolibar, Antoine Rabatel, Isabelle Gouttevin, Harry Zekollari, Clovis Galiez
Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning
Nature Communications, 2022, 13 (1), pp.409. ⟨10.1038/s41467-022-28033-0⟩
Article dans une revue
Franck Corset, Mitra Fouladirad, Christian Paroissin
Imperfect condition-based maintenance for a gamma degradation process in presence of unknown parameters
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2022, 237 (3)
Article dans une revue
Long Li, Jianwei Ma, Francois-Xavier Le Dimet, Arthur Vidard
Assimilation of Images via Dictionary Learning-Based Sparsity Regularization Strategy: An Application for Retrieving Fluid Flows
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.5907120:1-20. ⟨10.1109/TGRS.2021.3110799⟩
Article dans une revue
Nicholas K.-R. Kevlahan, Florian Lemarié
wavetrisk-2.1: an adaptive dynamical core for ocean modelling
Geoscientific Model Development, 2022, 15 (17), pp.6521-6539. ⟨10.5194/gmd-15-6521-2022⟩
Pré-publication, Document de travail
Gauthier Rousseau, Thibaut Métivet, Hugo Rousseau, Gilles Daviet, Florence Bertails-Descoubes
Nonsmooth simulations of 3D Drucker-Prager granular flows and validation against experimental column collapses
2022
Article dans une revue
Stéphane Girard, Hadrien Lorenzo, Jérôme Saracco
Advanced topics in Sliced Inverse Regression
Journal of Multivariate Analysis, 2022, 188, pp.104852. ⟨10.1016/j.jmva.2021.104852⟩
Pré-publication, Document de travail
Adrien Hirvoas, Clémentine Prieur, Élise Arnaud, Fabien Caleyron, Miguel Munoz Zuniga
Wind turbine quantification and reduction of uncertainties based on a data-driven data assimilation approach
2021
Pré-publication, Document de travail
Yavar Kian, Éric Soccorsi, Faouzi Triki
Logarithmic stable recovery of the source and the initial state of time fractional diffusion equations
2021
Communication dans un congrès
Meryem Bousebata, Geoffroy Enjolras, Stéphane Girard
Extreme partial least-squares regression
CMStatistics 2021 - 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom
Communication dans un congrès
Théo Moins, Julyan Arbel, Anne Dutfoy, Stéphane Girard
A Bayesian framework for Poisson process characterization of extremes with uninformative prior
CMStatistics 2021 - 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom
Communication dans un congrès
Antoine Usseglio-Carleve, Stéphane Girard, Gilles Stupfler
Extreme conditional expectile estimation in heavy-tailed heteroscedastic regression models
CMStatistics 2021 - 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom
Communication dans un congrès
Stéphane Girard, Emmanuel Gobet
Estimation of the largest tail-index and extreme quantiles from a mixture of heavy-tailed distributions
CMStatistics 2021 - 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom