Learning molecular energies using localized graph kernels G Ferré, T Haut, K Barros The Journal of chemical physics 146 (11), 114107, 2017 | 48 | 2017 |

Adaptive sampling of large deviations G Ferré, H Touchette The Journal of Statistical Physics 172 (6), 1515--1544, 2018 | 38 | 2018 |

Permutation-invariant distance between atomic configurations G Ferré, JB Maillet, G Stoltz The Journal of chemical physics 143 (10), 104114, 2015 | 28 | 2015 |

Simulating Coulomb gases and log-gases with hybrid Monte Carlo algorithms D Chafaï, G Ferré The Journal of Statistical Physics 174 (3), 692--714, 2018 | 19* | 2018 |

More on the long time stability of Feynman–Kac semigroups G Ferré, M Rousset, G Stoltz Stochastics and Partial Differential Equations: Analysis and Computations, 1-44, 2020 | 9 | 2020 |

Error estimates on ergodic properties of discretized Feynman-Kac semigroups G Ferré, G Stoltz Numerische Mathematik 143 (2), 261-313, 2017 | 9 | 2017 |

A biorthogonal decomposition for the identification and simulation of non-stationary and non-Gaussian random fields I Zentner, G Ferré, F Poirion, M Benoit Journal of Computational Physics 314, 1-13, 2016 | 6 | 2016 |

Coulomb gases under constraint: some theoretical and numerical results D Chafaï, G Ferré, G Stoltz SIAM Journal on Mathematical Analysis 53 (1), 181-220, 2021 | 4 | 2021 |

Large deviations of empirical measures of diffusions in weighted topologies G Ferré, G Stoltz Electronic Journal of Probability 25, 2020 | 4* | 2020 |

Large Deviations Theory in Statistical Physics: Some Theoretical and Numerical Aspects G Ferré Université Marne La Vallée, 2019 | 1 | 2019 |

Approximate optimal controls via instanton expansion for low temperature free energy computation G Ferré, T Grafke arXiv preprint arXiv:2011.10990, 2020 | | 2020 |

Théorie des grandes déviations en physique statistique: quelques aspects théoriques et numériques G Ferré Paris Est, 2019 | | 2019 |

Feynman–Kac models G Ferré, M Rousset, G Stoltz | | |