| Uncertainty quantification for systems of conservation laws G Poëtte, B Després, D Lucor Journal of Computational Physics 228 (7), 2443-2467, 2009 | 236 | 2009 |
| Robust uncertainty propagation in systems of conservation laws with the entropy closure method B Després, G Poëtte, D Lucor Uncertainty quantification in computational fluid dynamics, 105-149, 2013 | 82 | 2013 |
| Non intrusive iterative stochastic spectral representation with application to compressible gas dynamics G Poëtte, D Lucor Journal of Computational Physics 231 (9), 3587-3609, 2012 | 45 | 2012 |
| Adaptive Bayesian inference for discontinuous inverse problems, application to hyperbolic conservation laws A Birolleau, G Poëtte, D Lucor Communications in Computational Physics 16 (1), 1-34, 2014 | 36 | 2014 |
| A gPC-intrusive Monte-Carlo scheme for the resolution of the uncertain linear Boltzmann equation G Poëtte Journal of Computational Physics 385, 135-162, 2019 | 28 | 2019 |
| Treatment of uncertain material interfaces in compressible flows G Poëtte, B Després, D Lucor Computer Methods in Applied Mechanics and Engineering 200 (1-4), 284-308, 2011 | 18 | 2011 |
| A new implicit monte-carlo scheme for photonics (without teleportation error and without tilts) G Poëtte, X Valentin Journal of Computational Physics 412, 109405, 2020 | 17 | 2020 |
| Contribution to the mathematical and numerical analysis of uncertain systems of conservation laws and of the linear and nonlinear Boltzmann equation G Poëtte Université de Bordeaux 1, 2019 | 14 | 2019 |
| An unsplit monte-carlo solver for the resolution of the linear boltzmann equation coupled to (stiff) bateman equations A Bernede, G Poëtte Journal of Computational Physics 354, 211-241, 2018 | 14 | 2018 |
| Hybrid parallel programming models for AMR neutron Monte-Carlo transport D Dureau, G Poëtte SNA+ MC 2013-Joint International Conference on Supercomputing in Nuclear …, 2014 | 13 | 2014 |
| Goal-oriented sensitivity analysis of hyperparameters in deep learning P Novello, G Poëtte, D Lugato, PM Congedo Journal of Scientific Computing 94 (3), 45, 2023 | 12 | 2023 |
| Spectral convergence of the generalized Polynomial Chaos reduced model obtained from the uncertain linear Boltzmann equation G Poëtte Mathematics and Computers in Simulation 177, 24-45, 2020 | 10 | 2020 |
| Uncertainty propagation for systems of conservation laws, high order stochastic spectral methods G Poëtte, B Després, D Lucor Spectral and High Order Methods for Partial Differential Equations: Selected …, 2010 | 9 | 2010 |
| Canceling teleportation error in legacy imc code for photonics (without tilts, with simple minimal modifications) G Poëtte, X Valentin, A Bernede Journal of Computational and Theoretical Transport 49 (4), 162-194, 2020 | 8 | 2020 |
| A comparative study of generalized Polynomial Chaos based Approximations: integration vs. regression vs. collocation vs. kriging G Poëtte | 8 | 2018 |
| Iterative polynomial approximation adapting to arbitrary probability distribution G Poëtte, A Birolleau, D Lucor SIAM Journal on Numerical Analysis 53 (3), 1559-1584, 2015 | 8 | 2015 |
| Efficient uncertain keff computations with the Monte Carlo resolution of generalised Polynomial Chaos based reduced models G Poëtte, E Brun Journal of Computational Physics 456, 111007, 2022 | 7 | 2022 |
| Propagation d'incertitudes pour les systèmes de lois de conservation, méthodes spectrales stochastiques G Poëtte Paris 6, 2009 | 7 | 2009 |
| Efficient uncertainty propagation for photonics: Combining implicit semi-analog monte carlo (ismc) and monte carlo generalised polynomial chaos (mc-gpc) G Poëtte Journal of Computational Physics 450, 110807, 2022 | 6 | 2022 |
| A stochastic surrogate model approach applied to calibration of unstable fluid flow experiments G Poëtte, D Lucor, H Jourdren Comptes Rendus Mathematique 350 (5-6), 319-324, 2012 | 6 | 2012 |
