Weakly Intrusive Low-Rank Approximation Method for Nonlinear Parameter-Dependent Equations von Giraldi, Loic, Nouy, Anthony

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Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming von Wang, Tong, Lima, Ricardo M., Giraldi, Loïc, Knio, Omar M.

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Optimal 3D trajectory planning for AUVs using ocean general circulation models von Albarakati, Sultan, Lima, Ricardo M., Giraldi, Loïc, Hoteit, Ibrahim, Knio, Omar

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To Be or Not to Be Intrusive? The Solution of Parametric and Stochastic Equations---the “Plain Vanilla” Galerkin Case von Giraldi, Loïc, Litvinenko, Alexander, Liu, Dishi, Matthies, Hermann G., Nouy, Anthony

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To Be or Not to be Intrusive? The Solution of Parametric and Stochastic Equations---Proper Generalized Decomposition von Giraldi, Loïc, Liu, Dishi, Matthies, Hermann G., Nouy, Anthony

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Optimal projection of observations in a Bayesian setting von Giraldi, Loïc, Le Maître, Olivier P., Hoteit, Ibrahim, Knio, Omar M.

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Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation von Goffinet, Etienne, Lebbah, Mustapha, Azzag, Hanane, Loïc, Giraldi, Coutant, Anthony

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Sample average approximation for risk-averse problems: A virtual power plant scheduling application von Lima, Ricardo M., Conejo, Antonio J., Giraldi, Loïc, Le Maître, Olivier, Hoteit, Ibrahim, Knio, Omar M.

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Bayesian inference of earthquake parameters from buoy data using a polynomial chaos-based surrogate von Giraldi, Loïc, Le Maître, Olivier P., Mandli, Kyle T., Dawson, Clint N., Hoteit, Ibrahim, Knio, Omar M.

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Tensor-based methods for numerical homogenization from high-resolution images von Giraldi, L., Nouy, A., Legrain, G., Cartraud, P.

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Low-Rank Approximate Inverse for Preconditioning Tensor-Structured Linear Systems von Giraldi, L., Nouy, A., Legrain, G.

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Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation von Goffinet, Etienne, Lebbah, Mustapha, Azzag, Hanane, Loïc, Giraldi, Coutant, Anthony

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Ensemble Data Assimilation for Particle-based Methods von Duvillard, Marius, Giraldi, Loïc, Maître, Olivier Le

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Nonparametric Bayesian approach for quantifying the conditional uncertainty of input parameters in chained numerical models von Baldé, Oumar, Damblin, Guillaume, Marrel, Amandine, Bouloré, Antoine, Giraldi, Loïc

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Ensemble Data Assimilation for Particle-based Methods von Duvillard, Marius, Giraldi, Loïc, Olivier Le Maître

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Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation von Goffinet, Etienne, Coutant, Anthony, Lebbah, Mustapha, Azzag, Hanane, Giraldi, Loïc

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Nonparametric Bayesian approach for quantifying the conditional uncertainty of input parameters in chained numerical models von Baldé, Oumar, Damblin, Guillaume, Marrel, Amandine, Bouloré, Antoine, Giraldi, Loïc

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Autonomous Driving Validation with Model-Based Dictionary Clustering von Goffinet, Etienne, Lebbah, Mustapha, Azzag, Hanane, Giraldi, Loic

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Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation von Goffinet, Etienne, Coutant, Anthony, Lebbah, Mustapha, Azzag, Hanane, Giraldi, Loïc

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Optimal projection of observations in a Bayesian setting von Giraldi, Loïc, Maître, Olivier P. Le, Hoteit, Ibrahim, Knio, Omar M

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