Transdimensional and Hamiltonian Monte Carlo inversions of Rayleighâwave dispersion curves: a comparison on synthetic datasets
Sign Up to like & getrecommendations! Published in 2020 at "Near Surface Geophysics"
DOI: 10.1002/nsg.12100
Abstract: ABSTRACT We compare two Monte Carlo inversions that aim to solve some of the main problems of dispersion curve inversion: deriving reliable uncertainty appraisals, determining the optimal model parameterization and avoiding entrapment in local minima… read more here.
Keywords: model; monte carlo; inversion; hamiltonian monte ... See more keywords
Hamiltonian Monte Carlo acceleration using surrogate functions with random bases
Sign Up to like & getrecommendations! Published in 2017 at "Statistics and Computing"
DOI: 10.1007/s11222-016-9699-1
Abstract: For big data analysis, high computational cost for Bayesian methods often limits their applications in practice. In recent years, there have been many attempts to improve computational efficiency of Bayesian inference. Here we propose an… read more here.
Keywords: hamiltonian monte; monte; monte carlo; random bases ... See more keywords
New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo
Sign Up to like & getrecommendations! Published in 2020 at "Evolving Systems"
DOI: 10.1007/s12530-019-09288-3
Abstract: A prior distribution of weights for Multilayer feedforward neural network in Bayesian point of view plays a central role toward generalization. In this context, we propose a new prior law for weights parameters which motivate… read more here.
Keywords: neural network; hamiltonian monte; new prior; distribution ... See more keywords
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2020.11.005
Abstract: Abstract The estimation of remaining useful life (RUL) of machinery is a major task in prognostics and health management (PHM). Recently, prognostic performance has been enhanced significantly due to the application of deep learning (DL)… read more here.
Keywords: estimation; uncertainty; monte carlo; useful life ... See more keywords
Autotuning Hamiltonian Monte Carlo for efficient generalized nullspace exploration
Sign Up to like & getrecommendations! Published in 2021 at "Geophysical Journal International"
DOI: 10.1093/gji/ggab270
Abstract: We propose methods to efficiently explore the generalized nullspace of (non-linear) inverse problems, defined as the set of plausible models that explain observations within some misfit tolerance. Owing to the random nature of observational errors,… read more here.
Keywords: monte carlo; hamiltonian monte; nullspace exploration; generalized nullspace ... See more keywords
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.3032061
Abstract: Although deep convolutional neural networks (CNNs) have demonstrated remarkable performance on multiple computer vision tasks, researches on adversarial learning have shown that deep models are vulnerable to adversarial examples, which are crafted by adding visually… read more here.
Keywords: monte carlo; hamiltonian monte; method; adversarial examples ... See more keywords
Robust Inference Based On the Complementary Hamiltonian Monte Carlo
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2021.3117189
Abstract: The article aims to explore certain reliability probability models using a Hamiltonian Monte Carlo (HMC) sampler. There are some concerns with the classic HMC samplers. A notable aspect of the method comes from its acceptance… read more here.
Keywords: robust inference; probability; monte carlo; hamiltonian monte ... See more keywords
Improved new modified Weibull distribution: A Bayes study using Hamiltonian Monte Carlo simulation
Sign Up to like & getrecommendations! Published in 2020 at "Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability"
DOI: 10.1177/1748006x19896740
Abstract: The newly modified Weibull distribution defined in the literature is a model based on combining the Weibull and modified Weibull distributions. It has been demonstrated as the best model for fitting to the bathtub-shaped failure… read more here.
Keywords: model; monte carlo; hamiltonian monte; modified weibull ... See more keywords