15 citations · 19 across the 3 of their papers we have counts for
3 papers
Learning to correct spectral methods for simulating turbulent flows
Gideon Dresdner, Dmitrii Kochkov, Peter Norgaard +4
Despite their ubiquity throughout science and engineering, only a handful of partial differential equations (PDEs) have analytical, or closed-form solutions. This motivates a vast…
Hamiltonian Monte Carlo in Inverse Problems; Ill-Conditioning and Multi-Modality
Ian Langmore, Michael Dikovsky, Scott Geraedts +2
The Hamiltonian Monte Carlo (HMC) method allows sampling from continuous densities. Favorable scaling with dimension has led to wide adoption of HMC by the statistics community. Mo…
A Condition Number for Hamiltonian Monte Carlo
Ian Langmore, Michael Dikovsky, Scott Geraedts +2
Hamiltonian Monte Carlo is a popular sampling technique for smooth target densities. The scale lengths of the target have long been known to influence integration error and samplin…