| On the long time behavior of second order differential equations with asymptotically small dissipation A Cabot, H Engler, S Gadat Transactions of the American Mathematical Society 361 (11), 5983-6017, 2009 | 172 | 2009 |
| Stochastic heavy ball S Gadat, F Panloup, S Saadane | 140 | 2018 |
| Regional climate model emulator based on deep learning: Concept and first evaluation of a novel hybrid downscaling approach A Doury, S Somot, S Gadat, A Ribes, L Corre Climate Dynamics 60 (5), 1751-1779, 2023 | 94 | 2023 |
| Classification in general finite dimensional spaces with the k-nearest neighbor rule S Gadat, T Klein, C Marteau | 88 | 2016 |
| A stochastic algorithm for feature selection in pattern recognition S Gadat, L Younes Journal of Machine Learning Research 8, 509-547, 2007 | 88 | 2007 |
| Individual human cytotoxic T lymphocytes exhibit intraclonal heterogeneity during sustained killing Z Vasconcelos, S Müller, D Guipouy, W Yu, C Christophe, S Gadat, ... Cell Reports 11 (9), 1474-1485, 2015 | 65 | 2015 |
| Optimal non-asymptotic bound of the Ruppert-Polyak averaging without strong convexity S Gadat, F Panloup arXiv preprint arXiv:1709.03342, 2017 | 64 | 2017 |
| Second-order differential equations with asymptotically small dissipation and piecewise flat potentials. A Cabot, H Engler, S Gadat Electronic Journal of Differential Equations (EJDE)[electronic only] 2009, 33-38, 2009 | 63 | 2009 |
| A deconvolution approach to estimation of a common shape in a shifted curves model J Bigot, S Gadat | 54 | 2010 |
| Spectral decompositions and $\LL^ 2$-operator norms of toy hypocoercive semi-groups S Gadat, L Miclo Kinetic and related models 6 (2), 317-372, 2013 | 47 | 2013 |
| Asymptotic study of stochastic adaptive algorithms in non-convex landscape S Gadat, I Gavra Journal of Machine Learning Research 23 (228), 1-54, 2022 | 42 | 2022 |
| Classification with the nearest neighbor rule in general finite dimensional spaces: necessary and sufficient conditions S Gadat, T Klein, C Marteau arXiv preprint arXiv:1411.0894, 2014 | 42* | 2014 |
| Multiclass classification and gene selection with a stochastic algorithm KA Lê Cao, A Bonnet, S Gadat Computational Statistics & Data Analysis 53 (10), 3601-3615, 2009 | 40 | 2009 |
| Statistical M-estimation and consistency in large deformable models for image warping J Bigot, S Gadat, JM Loubes Journal of Mathematical Imaging and Vision 34 (3), 270-290, 2009 | 39 | 2009 |
| Long time behaviour and stationary regime of memory gradient diffusions S Gadat, F Panloup Annales de l'IHP Probabilités et statistiques 50 (2), 564-601, 2014 | 36 | 2014 |
| Intensity estimation of non-homogeneous Poisson processes from shifted trajectories J Bigot, S Gadat, T Klein, C Marteau | 35 | 2013 |
| Selection of biologically relevant genes with a wrapper stochastic algorithm KA Lê Cao, O Gonçalves, P Besse, S Gadat Statistical Applications in Genetics and Molecular Biology 6 (1), 2007 | 34 | 2007 |
| Optimal non-asymptotic analysis of the Ruppert–Polyak averaging stochastic algorithm S Gadat, F Panloup Stochastic Processes and their Applications 156, 312-348, 2023 | 29 | 2023 |
| Bayesian methods for the shape invariant model D Bontemps, S Gadat | 25 | 2014 |
| On the suitability of a convolutional neural network based RCM-emulator for fine spatio-temporal precipitation A Doury, S Somot, S Gadat Climate Dynamics 62 (9), 8587-8613, 2024 | 24 | 2024 |
Jérémie BigotUniversité de BordeauxVerified email at math.u-bordeaux1.fr
