Challenges in Markov chain Monte Carlo for Bayesian neural networks

Autor: Theodore Papamarkou, Jacob Hinkle, M. Todd Young, David Womble

Publikováno v: Papamarkou, T, Hinkle, J, Young, M T & Womble, D 2022, ' Challenges in Markov chain Monte Carlo for Bayesian neural networks ', Statistical Science, vol. 37, no. 3, 3, pp. 425-442 . https://doi.org/10.1214/21-STS840

Markov chain Monte Carlo (MCMC) methods have not been broadly adopted in Bayesian neural networks (BNNs). This paper initially reviews the main challenges in sampling from the parameter posterior of a neural network via MCMC. Such challenges culminat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08953d47c31ae3db95f8e291ff7bcde9
https://pure.manchester.ac.uk/ws/files/196953151/STS840_double_column.pdf

An AI-Enabled MODEX Framework for Improving Predictability of Subsurface Water Storage across Local and Continental Scales

Autor: Dan Lu, Eric Pierce, Shih-Chieh Kao, Guannan Zhang, Juan Restrepo, David Womble, Li Li, Daniella Rempe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::730e6b2642bf7a9a4790a4b890936485
https://doi.org/10.2172/1769675

Web-site-based recruitment for research studies on abdominal aortic and intracranial aneurysms

Autor: Helena Kuivaniemi, Anne Greb, Alicia Salkowski, David Womble, Gerard Tromp

Publikováno v: Genetic testing. 5(4)

Our current understanding on the pathogenesis of abdominal aortic and intracranial aneurysms is limited, but genetic and environmental factors as well as their interactions are likely to play important roles in the development and rupture of aneurysm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d42b9799b622e7f28ca1e79973e885c4
https://pubmed.ncbi.nlm.nih.gov/11960575