activity
20142019
most citedNew particle representations for ergodic McKean-Vlasov SDEs

4 citations · 5 across the 4 of their papers we have counts for

collaborators

6 papers

math.PR2019★ 4 cited

New particle representations for ergodic McKean-Vlasov SDEs

H. AlRachid, Mireille Bossy, Cristiano Ricci +1

The aim of this paper is to introduce several new particle representations for \textit{ergodic} McKean-Vlasov SDEs. We construct new algorithms by leveraging recent progress in wea…

math.PR2017★ 1 cited

Variance Reduction Result for a Projected Adaptive Biasing Force Method

Houssam AlRachid, Tony Lelievre

This paper is committed to investigate an extension of the classical adaptive biasing force method, which is used to compute the free energy related to the Boltzmann-Gibbs measure…

math.PR2016

Some Remarks on Preconditioning Molecular Dynamics

Houssam AlRachid, Letif Mones, Christoph Ortner

We consider a Preconditioned Overdamped Langevin algorithm that does not alter the invariant distribution (up to controllable discretisation errors) and ask whether preconditioning…

math.AP2015

Local and global solution for a nonlocal Fokker-Planck equation related to the adaptive biaising force processes

Houssam Alrachid, Tony Lelièvre, Raafat Talhouk

We prove global existence, uniqueness and regularity of the mild, Lp and classical solution of a non-linear Fokker-Planck equation arising in an adaptive importance sampling method…

math.NA2015

Long-time convergence of an adaptive biasing force method: Variance reduction by Helmholtz projection

Houssam Alrachid, Tony Lelièvre

In this paper, we propose an improvement of the adaptive biasing force (ABF) method, by projecting the estimated mean force onto a gradient. The associated stochastic process satis…

stat.AP2014

Statistical methods for critical scenarios in aeronautics

Houssam Alrachid, Virginie Ehrlacher, Alexis Marceau +1

We present numerical results obtained on the CEMRACS project Predictive SMS proposed by Safety Line. The goal of this work was to elaborate a purely statistical method in order to…