| Learning molecular energies using localized graph kernels G Ferré, T Haut, K Barros The Journal of chemical physics 146 (11), 2017 | 66 | 2017 |
| Adaptive sampling of large deviations G Ferré, H Touchette The Journal of Statistical Physics 172 (6), 1515--1544, 2018 | 64 | 2018 |
| Permutation-invariant distance between atomic configurations G Ferré, JB Maillet, G Stoltz The Journal of chemical physics 143 (10), 2015 | 43 | 2015 |
| More on the long time stability of Feynman–Kac semigroups G Ferré, M Rousset, G Stoltz Stochastics and Partial Differential Equations: Analysis and Computations 9 …, 2021 | 36 | 2021 |
| 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 | 21* | 2018 |
| Error estimates on ergodic properties of discretized Feynman-Kac semigroups G Ferré, G Stoltz Numerische Mathematik 143 (2), 261-313, 2017 | 21 | 2017 |
| Large deviations of empirical measures of diffusions in weighted topologies G Ferré, G Stoltz Electronic Journal of Probability 25, 2020 | 14* | 2020 |
| Approximate optimal controls via instanton expansion for low temperature free energy computation G Ferré, T Grafke Multiscale Modeling & Simulation 19 (3), 1310-1332, 2021 | 11 | 2021 |
| 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 | 8 | 2021 |
| 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 | 8 | 2016 |
| Large deviations theory in statistical physics: Some theoretical and numerical aspects G Ferré Université Marne La Vallée, 2019 | 6 | 2019 |
| More on the long time stability of Feynman-Kac semigroups. arXiv e-prints, page G Ferré, M Rousset, G Stoltz arXiv preprint arXiv:1807.00390, 2018 | 5 | 2018 |
| Stochastic viscosity approximations of Hamilton–Jacobi equations and variance reduction G Ferré ESAIM: Mathematical Modelling and Numerical Analysis 57 (4), 2301-2318, 2023 | 1 | 2023 |
| A subexponential version of Cramer's theorem G Ferré arXiv preprint arXiv:2206.05791, 2022 | 1 | 2022 |
| Heavy tailed large deviations for time averages of diffusions: the Ornstein-Uhlenbeck case G Ferré arXiv preprint arXiv:2402.16992, 2024 | | 2024 |
| Stochastic viscosity approximations of Hamilton-Jacobi equations and variance reduction G Ferré arXiv preprint arXiv:2111.10819, 2021 | | 2021 |
| Théorie des grandes déviations en physique statistique: quelques aspects théoriques et numériques G Ferré Université Paris-Est, 2019 | | 2019 |
| Feynman–Kac models G Ferré, M Rousset, G Stoltz | | |
