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Loïc Giraldi
Loïc Giraldi
Research Scientist
Verified email at cea.fr
Title
Cited by
Cited by
Year
To be or not to be intrusive? The solution of parametric and stochastic equations---the “plain vanilla” Galerkin case
L Giraldi, A Litvinenko, D Liu, HG Matthies, A Nouy
SIAM Journal on Scientific Computing 36 (6), A2720-A2744, 2014
682014
Bayesian inference of earthquake parameters from buoy data using a polynomial chaos-based surrogate
L Giraldi, OP Le Maître, KT Mandli, CN Dawson, I Hoteit, OM Knio
Computational Geosciences 21, 683-699, 2017
302017
Tensor-based methods for numerical homogenization from high-resolution images
L Giraldi, A Nouy, G Legrain, P Cartraud
Computer Methods in Applied Mechanics and Engineering 254, 154-169, 2013
282013
Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming
T Wang, RM Lima, L Giraldi, OM Knio
Computers & Operations Research 101, 55-75, 2019
222019
To be or not to be intrusive? The solution of parametric and stochastic equations---proper generalized decomposition
L Giraldi, D Liu, HG Matthies, A Nouy
SIAM Journal on Scientific Computing 37 (1), A347-A368, 2015
202015
Low-rank approximate inverse for preconditioning tensor-structured linear systems
L Giraldi, A Nouy, G Legrain
SIAM Journal on Scientific Computing 36 (4), A1850-A1870, 2014
152014
Optimal 3D trajectory planning for AUVs using ocean general circulation models
S Albarakati, RM Lima, L Giraldi, I Hoteit, O Knio
Ocean Engineering 188, 106266, 2019
132019
Optimal projection of observations in a Bayesian setting
L Giraldi, OP Le Maître, I Hoteit, OM Knio
Computational Statistics & Data Analysis 124, 252-276, 2018
122018
Contributions aux méthodes de calcul basées sur l'approximation de tenseurs et applications en mécanique numérique
L Giraldi
Ecole Centrale de Nantes (ECN), 2012
92012
Combining ensemble Kalman filter and multiresolution analysis for efficient assimilation into adaptive mesh models
A Siripatana, L Giraldi, OP Le Maître, OM Knio, I Hoteit
Computational Geosciences 23, 1259-1276, 2019
82019
Sample average approximation for risk-averse problems: A virtual power plant scheduling application
RM Lima, AJ Conejo, L Giraldi, O Le Maître, I Hoteit, OM Knio
EURO Journal on Computational Optimization 9, 100005, 2021
72021
Risk-averse stochastic programming vs. adaptive robust optimization: a virtual power plant application
RM Lima, AJ Conejo, L Giraldi, O Le Maitre, I Hoteit, OM Knio
INFORMS Journal on Computing 34 (3), 1795-1818, 2022
62022
Autonomous driving validation with model-based dictionary clustering
E Goffinet, M Lebbah, H Azzag, L Giraldi
Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021
52021
Conditional latent block model: a multivariate time series clustering approach for autonomous driving validation
E Goffinet, A Coutant, M Lebbah, H Azzag, L Giraldi
arXiv preprint arXiv:2008.00946, 2020
42020
Multivariate time series multi-coclustering. application to advanced driving assistance system validation
E Goffinet, M Lebbah, H Azzag, L Giraldi, A Coutant
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2021
22021
Clustering de séries temporelles par construction de dictionnaire.
É Goffinet, M Lebbah, H Azzag, L Giraldi, SAS Renault
EGC, 181-192, 2020
22020
Nonparametric Bayesian approach for quantifying the conditional uncertainty of input parameters in chained numerical models
O Baldé, G Damblin, A Marrel, A Bouloré, L Giraldi
arXiv preprint arXiv:2307.01111, 2023
12023
Weakly intrusive low-rank approximation method for nonlinear parameter-dependent equations
L Giraldi, A Nouy
SIAM Journal on Scientific Computing 41 (3), A1777-A1792, 2019
12019
Samples of wind power and electricity prices used in the manuscript" Risk-averse stochastic programming vs. adaptive robust optimization: a virtual power plant application"
R Lima, O Knio, I Hoteit, L Giraldi, O Le Maître, A Conejo
KAUST Research Repository, 2017
12017
Predictive distributions of random variables following a multivariate Gaussian distribution with Normal Inverse Wishart prior
E Goffinet, M Lebbah, H Azzag, L Giraldi
LIPN, 2021
2021
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