1k citations
- Université Toulouse III - Paul SabatierFR936 papers
- Centre National de la Recherche ScientifiqueFR543 papers
- Institut National des Sciences Appliquées de ToulouseFR543 papers
- Université de ToulouseFR306 papers
- Toulouse Mathematics Institute172 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR155 papers
- Institut Universitaire de FranceFR37 papers
- Institut national de recherche en sciences et technologies du numériqueFR35 papers
- Laboratoire de Mathématiques d'OrsayFR34 papers
- Institut de Mathématiques de BordeauxFR31 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR27 papers
- Laboratoire d'Analyse et d'Architecture des SystèmesFR27 papers
130 papers · 1 filter
On-line Pick-Freeze Mirror algorithm for Sensitity Analysis
Manon Costa, Sébastien Gadat, Xavier Gendre +1
The main objective of this paper is to propose a new approach for estimating the entire collection of Sobol' indices simultaneously. Our approach exploits the fact that Sobol' indi…
Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
Nils Peyrouset, Pierre Neuvial, Bertrand Thirion
All Resolutions Inference (ARI) is a post hoc inference method for functional Magnetic Resonance Imaging (fMRI) data analysis that provides valid lower bounds on the proportion of…
Gradient-enhanced global sensitivity analysis with Poincar{é} chaos expansions
O Roustant, N Lüthen, David Heredia +1
Spectral methods, also known as chaos expansions, are widely used in global sensitivity analysis (GSA), as they leverage orthogonal bases of L2 spaces to efficiently compute Sobol'…
Inference post region selection
Dominique Bontemps, François Bachoc, Pierre Neuvial
Post-selection inference consists in providing statistical guarantees, based on a data set, that are robust to a prior model selection step on the same data set. In this paper, we…
On the Private Estimation of Smooth Transport Maps
Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes +1
Estimating optimal transport maps between two distributions from respective samples is an important element for many machine learning methods. To do so, rather than extending discr…
Fast pick-freeze estimation of Sobol' sensitivity maps using basis expansions
Yuri Sao, Olivier Roustant, Geraldo de Freitas Maciel
Global sensitivity analysis (GSA) aims at quantifying the contribution of input variables over the variability of model outputs. In the frame of functional outputs, a common goal i…