Urbain Vaes

According to our database, Urbain Vaes authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Mean-Field Ensemble Kalman Filter: Near-Gaussian Setting.

José A. Carrillo, F. Hoffmann, Andrew M. Stuart, Urbain Vaes

SIAM J. Numer. Anal., 2024

CBX: Python and Julia Packages for Consensus-Based Interacting Particle Methods.

Rafael Bailo, Alethea Barbaro, Susana N. Gomes, Konstantin Riedl, Tim Roith, Claudia Totzeck, Urbain Vaes

J. Open Source Softw., 2024

Neural network approaches for variance reduction in fluctuation formulas.

Grigorios A. Pavliotis, Renato Spacek, Gabriel Stoltz, Urbain Vaes

CoRR, 2024

Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting.

Edoardo Calvello, Pierre Monmarché, Andrew M. Stuart, Urbain Vaes

CoRR, 2024

2023

Mobility Estimation for Langevin Dynamics Using Control Variates.

Grigorios A. Pavliotis, Gabriel Stoltz, Urbain Vaes

Multiscale Model. Simul., June, 2023

2022

Derivative-Free Bayesian Inversion Using Multiscale Dynamics.

Grigorios A. Pavliotis, Andrew M. Stuart, Urbain Vaes

SIAM J. Appl. Dyn. Syst., 2022

2021

Scaling Limits for the Generalized Langevin Equation.

Grigorios A. Pavliotis, Gabriel Stoltz, Urbain Vaes

J. Nonlinear Sci., 2021

Consensus Based Sampling.

José Antonio Carrillo, Franca Hoffmann, Andrew M. Stuart, Urbain Vaes

CoRR, 2021

2020

Mean Field Limits for Interacting Diffusions with Colored Noise: Phase Transitions and Spectral Numerical Methods.

Susana N. Gomes, Grigorios A. Pavliotis, Urbain Vaes

Multiscale Model. Simul., 2020

2019

A linear, second-order, energy stable, fully adaptive finite element method for phase-field modelling of wetting phenomena.

Benjamin Aymard, Urbain Vaes, Marc Pradas, Serafim Kalliadasis

J. Comput. Phys. X, 2019

2017

Spectral Methods for Multiscale Stochastic Differential Equations.

Assyr Abdulle, Grigorios A. Pavliotis, Urbain Vaes

SIAM/ASA J. Uncertain. Quantification, 2017