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Presentations since September 2021

Oct 2024
  • Mean field limits for consensus-based and ensemble Kalman sampling. PDF
  • Discussions McKean—Vlasov à Jussieu.
Aug 2024
  • Filtre de Kalman d’ensemble dans le cadre quasi-gaussien. PDF
  • Journées MAS (Poitiers).
Jul 2024
  • Mean field limits for consensus-based and ensemble Kalman sampling. PDF
  • 9ECM 2024 (Sevilla).
Jun 2024
  • Mean field limits for consensus-based optimization and sampling. PDF
  • Eccomas 2024 (Lisbon).
May 2024
  • Derivative-free Bayesian inversion using multiscale dynamics. PDF
  • Mingus BMS workshop.
Feb 2024
  • The mean field ensemble Kalman filter: near-Gaussian setting. PDF
  • SIAM UQ 2024 (Trieste).
Sep 2023
  • Nonequilibrium systems and computation of transport coefficients. PDF
  • SINEQ summer school.
Mar 2023
  • Implementation aspects for consensus-based optimization. PDF
  • Purpose-driven particle systems, Lorentz Center, Leiden.
Feb 2023
  • Variance reduction for applications in computational statistical physics. PDF
  • Séminaire de probabilités, IRMAR Rennes.
Oct 2022
  • Variance reduction for applications in computational statistical physics. PDF
  • Imperial College London applied PDE seminar.
Jul 2022
  • Mobility estimation for Langevin dynamics using control variates. PDF
  • MCQMC 2022 (in Linz).
Jun 2022
  • Mobility for Langevin-like dynamics in a periodic potential: scaling limits and efficient numerical estimation. PDF
  • LMS-Birmingham Workshop on S/PDE: Analysis and Computations.
Sep 2022
  • The mean field ensemble Kalman filter: near-Gaussian setting. PDF
  • SIAM Mathematics of Data Science: Frontiers in Monte Carlo Methods for Physics.
Oct 2021
  • Consensus-based sampling. PDF
  • Rencontres Inria-LJLL.
Oct 2021
  • Derivative-free Bayesian inversion using multiscale dynamics. PDF
  • Simons Institute: Working group on consensus-based optimization and sampling.
Oct 2021
  • The generalized Langevin equation: long-time behavior and diffusive transport. PDF
  • CECAM workshop on generalized Langevin equations.