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Cited article:
Julien Roussel , Gabriel Stoltz
ESAIM: M2AN, 52 3 (2018) 1051-1083
Published online: 2018-09-13
This article has been cited by the following article(s):
16 articles
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Weighted L
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Jianfeng Lu and Lihan Wang The Annals of Applied Probability 32 (2) (2022) https://doi.org/10.1214/21-AAP1710
Randomized Hamiltonian Monte Carlo as scaling limit of the bouncy particle sampler and dimension-free convergence rates
George Deligiannidis, Daniel Paulin, Alexandre Bouchard-Côté and Arnaud Doucet The Annals of Applied Probability 31 (6) (2021) https://doi.org/10.1214/20-AAP1659
Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices
Futoshi Futami, Tomoharu Iwata, Naonori Ueda and Issei Sato Entropy 23 (8) 993 (2021) https://doi.org/10.3390/e23080993
Scaling Limits for the Generalized Langevin Equation
G. A. Pavliotis, G. Stoltz and U. Vaes Journal of Nonlinear Science 31 (1) (2021) https://doi.org/10.1007/s00332-020-09671-4
Choice of damping coefficient in Langevin dynamics
Robert D. Skeel and Carsten Hartmann The European Physical Journal B 94 (9) (2021) https://doi.org/10.1140/epjb/s10051-021-00182-z
Hypocoercivity Properties of Adaptive Langevin Dynamics
Benedict Leimkuhler, Matthias Sachs and Gabriel Stoltz SIAM Journal on Applied Mathematics 80 (3) 1197 (2020) https://doi.org/10.1137/19M1291649
Numerical computations of geometric ergodicity for stochastic dynamics
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Constructing Sampling Schemes via Coupling: Markov Semigroups and Optimal Transport
N. Nüsken and G. A. Pavliotis SIAM/ASA Journal on Uncertainty Quantification 7 (1) 324 (2019) https://doi.org/10.1137/18M119896X
A Perturbative Approach to Control Variates in Molecular Dynamics
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Using Perturbed Underdamped Langevin Dynamics to Efficiently Sample from Probability Distributions
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