Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling

24 September 2023

Papers citing "Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling"

5 / 5 papers shown

Title
Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations H. Christiansen Takashi Maruyama Federico Errica Viktor Zaverkin M. Takamoto Francesco Alesiani 73 0 0 26 Mar 2025
Reinforcement Learning for Adaptive MCMC Congye Wang Wilson Chen Heishiro Kanagawa Chris J. Oates BDL 19 2 0 22 May 2024
Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials Viktor Zaverkin David Holzmüller Henrik Christiansen Federico Errica Francesco Alesiani Makoto Takamoto Mathias Niepert Johannes Kastner AI4CE 9 13 0 03 Dec 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,263 0 09 Jun 2012