93 citations · 746 across the 53 of their papers we have counts for
3 papers · 1 filter
Galerkin Approximation of Dynamical Quantities using Trajectory Data
Erik H. Thiede, Dimitrios Giannakis, Aaron R. Dinner +1
Understanding chemical mechanisms requires estimating dynamical statistics such as expected hitting times, reaction rates, and committors. Here, we present a general framework for…
Simulating the stochastic dynamics and cascade failure of power networks
Charles Matthews, Bradly Stadie, Jonathan Weare +2
For large-scale power networks, the failure of particular transmission lines can offload power to other lines and cause self-protection trips to activate, instigating a cascade of…
Langevin Markov Chain Monte Carlo with stochastic gradients
Charles Matthews, Jonathan Weare
Monte Carlo sampling techniques have broad applications in machine learning, Bayesian posterior inference, and parameter estimation. Often the target distribution takes the form of…