Presentations since September 2021

Dec 2025

• Uniform-in-time mean field limit for consensus-based optimization.
• Stochastic algorithms reading group, Champs-sur-Marne.

Sep 2025

• Derivative-free Bayesian inversion using multiscale dynamics.
• ENUMATH conference, Heidelberg (Germany).

Jul 2025

• Error estimates for estimators of transport coefficients in molecular dynamics (chalkboard talk).
• Sampling High-Dimensional Probability Measures (CECAM workshop, Birmingham).

Jun 2025

• The narrow escape problem.
• Mathematics Seminar, Ulm University (Germany).

Feb 2025

• Mean field limits for consensus-based optimization and sampling.
• CMX Seminar (Caltech).

Oct 2024

• Mean field limits for consensus-based and ensemble Kalman sampling.
• Discussions McKean—Vlasov à Jussieu.

Aug 2024

• Filtre de Kalman d’ensemble dans le cadre quasi-gaussien.
• Journées MAS (Poitiers).

Jul 2024

• Mean field limits for consensus-based and ensemble Kalman sampling.
• 9ECM 2024 (Sevilla).

Jun 2024

• Mean field limits for consensus-based optimization and sampling.
• Eccomas 2024 (Lisbon).

May 2024

• Derivative-free Bayesian inversion using multiscale dynamics.
• Mingus BMS workshop.

Feb 2024

• The mean field ensemble Kalman filter: near-Gaussian setting.
• SIAM UQ 2024 (Trieste).

Sep 2023

• Nonequilibrium systems and computation of transport coefficients.
• SINEQ summer school.

Mar 2023

• Implementation aspects for consensus-based optimization.
• Purpose-driven particle systems, Lorentz Center, Leiden.

Feb 2023

• Variance reduction for applications in computational statistical physics.
• Séminaire de probabilités, IRMAR Rennes.

Oct 2022

• Variance reduction for applications in computational statistical physics.
• Imperial College London applied PDE seminar.

Jul 2022

• Mobility estimation for Langevin dynamics using control variates.
• MCQMC 2022 (in Linz).

Jun 2022

• Mobility for Langevin-like dynamics in a periodic potential: scaling limits and efficient numerical estimation.
• LMS-Birmingham Workshop on S/PDE: Analysis and Computations.

Sep 2022

• The mean field ensemble Kalman filter: near-Gaussian setting.
• SIAM Mathematics of Data Science: Frontiers in Monte Carlo Methods for Physics.

Oct 2021

• Consensus-based sampling.
• Rencontres Inria-LJLL.

Oct 2021

• Derivative-free Bayesian inversion using multiscale dynamics.
• Simons Institute: Working group on consensus-based optimization and sampling.

Oct 2021

• The generalized Langevin equation: long-time behavior and diffusive transport.
• CECAM workshop on generalized Langevin equations.