Generalisation of the Eyring–Kramers transition rate formula to irreversible diffusion processes F Bouchet, J Reygner Annales Henri Poincaré 17 (12), 3499-3532, 2016 | 112 | 2016 |

Propagation of chaos for rank-based interacting diffusions and long time behaviour of a scalar quasilinear parabolic equation B Jourdain, J Reygner Stochastic partial differential equations: analysis and computations 1 (3 …, 2013 | 55 | 2013 |

Capital distribution and portfolio performance in the mean-field Atlas model B Jourdain, J Reygner Annals of Finance 11 (2), 151-198, 2015 | 28* | 2015 |

Chaoticity of the stationary distribution of rank-based interacting diffusions J Reygner | 20 | 2015 |

The small noise limit of order-based diffusion processes B Jourdain, J Reygner | 19 | 2014 |

Quasi-stationary distribution for the Langevin process in cylindrical domains, part I: existence, uniqueness and long-time convergence T Lelièvre, M Ramil, J Reygner Stochastic Processes and their Applications 144, 173-201, 2022 | 17 | 2022 |

A probabilistic study of the kinetic Fokker–Planck equation in cylindrical domains T Lelièvre, M Ramil, J Reygner Journal of Evolution Equations 22 (2), 38, 2022 | 11 | 2022 |

Central Limit Theorem for stationary Fleming--Viot particle systems in finite spaces T Lelievre, L Pillaud-Vivien, J Reygner arXiv preprint arXiv:1806.04490, 2018 | 11 | 2018 |

Finite-Volume approximation of the invariant measure of a viscous stochastic scalar conservation law S Boyaval, S Martel, J Reygner IMA Journal of Numerical Analysis 42 (3), 2710-2770, 2022 | 7 | 2022 |

Equilibrium large deviations for mean-field systems with translation invariance J Reygner The Annals of Applied Probability 28 (5), 2922-2965, 2018 | 7 | 2018 |

Long time behavior of Markov processes and beyond F Bouguet, F Malrieu, F Panloup, C Poquet, J Reygner ESAIM: Proceedings and Surveys 51, 193-211, 2015 | 6 | 2015 |

Optimal convergence rate of the multitype sticky particle approximation of one-dimensional diagonal hyperbolic systems with monotonic initial data B Jourdain, J Reygner arXiv preprint arXiv:1507.01085, 2015 | 6 | 2015 |

Label noise (stochastic) gradient descent implicitly solves the lasso for quadratic parametrisation LP Vivien, J Reygner, N Flammarion Conference on Learning Theory, 2127-2159, 2022 | 5 | 2022 |

Statistical ranking of electromechanical dyssynchrony parameters for CRT S Cazeau, M Toulemont, P Ritter, J Reygner Open heart 6 (1), e000933, 2019 | 5 | 2019 |

A formal framework to define margins in industrial processes A Touboul, J Reygner, F Mangeant, P Benjamin | 4 | 2019 |

Path integral derivation and numerical computation of large deviation prefactors for non-equilibrium dynamics through matrix Riccati equations F Bouchet, J Reygner Journal of Statistical Physics 189 (2), 21, 2022 | 3 | 2022 |

Viscous scalar conservation law with stochastic forcing: strong solution and invariant measure S Martel, J Reygner Nonlinear Differential Equations and Applications NoDEA 27 (3), 34, 2020 | 3 | 2020 |

Long time behaviour and mean-field limit of Atlas models J Reygner ESAIM: Proceedings and Surveys 60, 132-143, 2017 | 3 | 2017 |

A multitype sticky particle construction of Wasserstein stable semigroups solving one-dimensional diagonal hyperbolic systems with large monotonic data B Jourdain, J Reygner Journal of Hyperbolic Differential Equations 13 (03), 441-602, 2016 | 3 | 2016 |

Comportements en temps long et à grande échelle de quelques dynamiques de collision. J Reygner Paris 6, 2014 | 3 | 2014 |