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 | 68 | 2014 |
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 | 29 | 2017 |
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 | 28 | 2013 |
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 | 22 | 2019 |
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 | 20 | 2015 |
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 | 15 | 2014 |
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 | 13 | 2019 |
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 | 12 | 2018 |
Contributions aux méthodes de calcul basées sur l'approximation de tenseurs et applications en mécanique numérique L Giraldi Ecole Centrale de Nantes (ECN), 2012 | 9 | 2012 |
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 | 8 | 2019 |
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 | 7 | 2021 |
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 | 6 | 2022 |
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 | 5 | 2021 |
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 | 4 | 2020 |
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 | 2 | 2021 |
Clustering de séries temporelles par construction de dictionnaire. É Goffinet, M Lebbah, H Azzag, L Giraldi, SAS Renault EGC, 181-192, 2020 | 2 | 2020 |
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 | 1 | 2023 |
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 | 1 | 2019 |
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 | 1 | 2017 |
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 |