Modified Hamiltonian Monte Carlo for Bayesian inference

13 June 2017

Papers citing "Modified Hamiltonian Monte Carlo for Bayesian inference"

9 / 9 papers shown

Title
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 58 2 0 05 Nov 2024
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs Elham Kiyani M. Kooshkbaghi K. Shukla R. Koneru Zhen Li L. Bravo A. Ghoshal George Karniadakis M. Karttunen AI4CE 39 4 0 18 Jul 2023
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo Lorenzo Nagar Mario Fernández-Pendás J. Sanz-Serna E. Akhmatskaya 15 1 0 05 Jul 2023
Dynamic SIR/SEIR-like models comprising a time-dependent transmission rate: Hamiltonian Monte Carlo approach with applications to COVID-19 Hristo Inouzhe María Xosé Rodríguez-Álvarez Lorenzo Nagar E. Akhmatskaya 35 4 0 16 Jan 2023
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 38 25 0 20 Mar 2022
A Unifying and Canonical Description of Measure-Preserving Diffusions Alessandro Barp So Takao M. Betancourt Alexis Arnaudon Mark Girolami 31 17 0 06 May 2021
Post-Processing of MCMC Leah F. South M. Riabiz Onur Teymur Chris J. Oates 32 17 0 30 Mar 2021
A Neural Network MCMC sampler that maximizes Proposal Entropy Zengyi Li Yubei Chen Friedrich T. Sommer 34 14 0 07 Oct 2020
Markov Chain Importance Sampling -- a highly efficient estimator for MCMC Ingmar Schuster I. Klebanov 38 24 0 18 May 2018