Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Explores Generalized Langevin Equations and their computational implications in molecular dynamics simulations, emphasizing the impact of noise details on particle trajectories.
