Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling [PDF]
Entropy, 2023 The Hamiltonian Monte Carlo (HMC) sampling algorithm exploits Hamiltonian dynamics to construct efficient Markov Chain Monte Carlo (MCMC), which has become increasingly popular in machine learning and statistics.
Shiliang Sun +3 more
doaj +2 more sources
A Novel Hybrid Monte Carlo Algorithm for Sampling Path Space [PDF]
Entropy, 2021 To sample from complex, high-dimensional distributions, one may choose algorithms based on the Hybrid Monte Carlo (HMC) method. HMC-based algorithms generate nonlocal moves alleviating diffusive behavior. Here, I build on an already defined HMC framework,
Francis J. Pinski
doaj +2 more sources
Adaptively Setting the Path Length for Separable Shadow Hamiltonian Hybrid Monte Carlo [PDF]
IEEE Access, 2021 Hybrid Monte Carlo (HMC) has been widely applied to numerous posterior inference problems in machine learning and statistics. HMC has two main practical issues, the first is the deterioration in acceptance rates as the system size increases and the ...
Wilson Tsakane Mongwe +2 more
doaj +2 more sources
py-MCMD: Python Software for Performing Hybrid Monte Carlo/Molecular Dynamics Simulations with GOMC and NAMD. [PDF]
J Chem Theory Comput, 2022 Barhaghi MS +7 more
europepmc +3 more sources
Hessian corrections to Hybrid Monte Carlo [PDF]
, 2017 8 pages, 4 ...
Thomas House
openalex +3 more sources
Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models [PDF]
Scientific ReportsResearch uses both RANSAC Regressor and Monte Carlo Optimization to improve the performance of electrolysis/ultrasound/persulfate system which detoxifies petroleum-contaminated soils.
Rozhan Feizi +4 more
doaj +2 more sources
Riemannian Manifold Hybrid Monte Carlo in Lattice QCD [PDF]
Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021), 2022 Critical slowing down presents a critical obstacle to lattice QCD calculation at the smaller lattice spacings made possible by Exascale computers. Inspired by the concept of Fourier acceleration, we study a version of the Riemannian Manifold HMC (RMHMC) algorithm in which the canonical mass term of the HMC algorithm is replaced by a rational function ...
Tuan Nguyen +4 more
openalex +3 more sources
Hybrid Drive Simulation Architecture for Power Distribution Based on the Federated Evolutionary Monte Carlo Algorithm [PDF]
EnergiesModern active distribution networks are increasingly characterized by high complexity, uncertainty, and distributed clustering, posing challenges for traditional model-based simulations in capturing nonlinear dynamics and stochastic variations.
Dongli Jia +6 more
doaj +2 more sources
Nuclear Engineering and Technology, 2019 This study systematically compared two hybrid deterministic/Monte Carlo transport codes, ADVANTG/MCNP and MAVRIC, in solving a difficult shielding problem for a real-world spent fuel storage cask.
Po-Chen Lai +2 more
doaj +2 more sources
A HYBRID MONTE-CARLO-DETERMINISTIC METHOD FOR AP1000 EX-CORE DETECTOR RESPONSE SIMULATION [PDF]
EPJ Web of Conferences, 2021 The ex-core detector-response calculation is a typical deep-penetration problem, which is challenging for the Monte Carlo method. The response of the ex-core detector is an important parameter for the safe operation of the nuclear power plants. Meanwhile,
Zheng Qi +6 more
doaj +1 more source