To Be or Not to Be Intrusive? The Solution of Parametric and Stochastic Equations - the "Plain Vanilla" Galerkin Case. - Loïc Giraldi; Alexander Litvinenko; Dishi Liu; Hermann G. Matthies; Anthony Nouy (SIAM J. Sci. Comput., 2014)

Low-Rank Approximate Inverse for Preconditioning Tensor-Structured Linear Systems. - Loïc Giraldi; Anthony Nouy; Grégory Legrain (SIAM J. Sci. Comput., 2014)

To Be or Not to be Intrusive? The Solution of Parametric and Stochastic Equations - Proper Generalized Decomposition. - Loïc Giraldi; Dishi Liu; Hermann G. Matthies; Anthony Nouy (SIAM J. Sci. Comput., 2015)

Optimal projection of observations in a Bayesian setting. - Loïc Giraldi; Olivier P. Le Maître; Ibrahim Hoteit; Omar M. Knio (Comput. Stat. Data Anal., 2018)

Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming. - Tong Wang 013; Ricardo M. Lima; Loïc Giraldi; Omar M. Knio (Comput. Oper. Res., 2019)

Weakly Intrusive Low-Rank Approximation Method for Nonlinear Parameter-Dependent Equations. - Loïc Giraldi; Anthony Nouy (SIAM J. Sci. Comput., 2019)

Clustering de séries temporelles par construction de dictionnaire. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi (EGC, 2020)

Autonomous Driving Validation with Model-Based Dictionary Clustering. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi (ECML/PKDD (4), 2020)

Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. - Étienne Goffinet; Anthony Coutant; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi (CoRR, 2020)

Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi; Anthony Coutant (AALTD@ECML/PKDD, 2021)

Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi; Anthony Coutant (ESANN, 2021)

Sample average approximation for risk-averse problems: A virtual power plant scheduling application. - Ricardo M. Lima; Antonio J. Conejo; Loïc Giraldi; Olivier P. Le Maître; Ibrahim Hoteit; Omar M. Knio (EURO J. Comput. Optim., 2021)

Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. - Étienne Goffinet; Mustapha Lebbah; Hanane Azzag; Loïc Giraldi; Anthony Coutant (Comput. Stat. Data Anal., 2022)

Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application. - Ricardo M. Lima; Antonio J. Conejo; Loïc Giraldi; Olivier P. Le Maître; Ibrahim Hoteit; Omar M. Knio (INFORMS J. Comput., 2022)

Ensemble Data Assimilation for Particle-based Methods. - Marius Duvillard; Loïc Giraldi; Olivier P. Le Maître (CoRR, 2024)