activity
20162022
most citedSize consistency in Smoothed Dissipative Particle Dynamics

6 citations · 6 across the 2 of their papers we have counts for

collaborators

5 papers

stat.ML2022

Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series

Hong-Lan Botterman, Julien Roussel, Thomas Morzadec +2

We propose a robust principal component analysis (RPCA) framework to recover low-rank and sparse matrices from temporal observations. We develop an online version of the batch temp…

stat.CO2018

Hypocoercivity of Piecewise Deterministic Markov Process-Monte Carlo

Christophe Andrieu, Alain Durmus, Nikolas Nüsken +1

In this work, we establish -exponential convergence for a broad class of Piecewise Deterministic Markov Processes recently proposed in the context of Markov Process M…

math.NA2017

A perturbative approach to control variates in molecular dynamics

Julien Roussel, Gabriel Stoltz

We propose a general variance reduction strategy for diffusion processes. Our approach does not require the knowledge of the measure that is sampled, which may indeed be unknown as…

math.NA2017

Spectral methods for Langevin dynamics and associated error estimates

Julien Roussel, Gabriel Stoltz

We prove the consistency of Galerkin methods to solve Poisson equations where the differential operator under consideration is the generator of the Langevin dynamics. We show in pa…

cond-mat.stat-mech2016★ 6 cited

Size consistency in Smoothed Dissipative Particle Dynamics

G. Faure, J. Roussel, J. -B. Maillet +1

Smoothed Dissipative Particle Dynamics (SDPD) is a mesoscopic method which allows to select the level of resolution at which a fluid is simulated. In this work, we study the consis…