OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
A Primer on Bayesian Neural Networks: Review and Debates
Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 8
Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 8
Showing 8 citing articles:
Interplay between Bayesian Neural Networks and Deep Learning: A Survey
Yinsong Chen, Samson S. Yu, Zhong Li, et al.
(2025)
Closed Access
Yinsong Chen, Samson S. Yu, Zhong Li, et al.
(2025)
Closed Access
Overview of Data-Driven Models for Wind Turbine Wake Flows
Maokun Ye, Min Li, Mingqiu Liu, et al.
Journal of Marine Science and Application (2025)
Open Access
Maokun Ye, Min Li, Mingqiu Liu, et al.
Journal of Marine Science and Application (2025)
Open Access
Bayesian RG flow in neural network field theories
J. Howard, Marc S. Klinger, Anindita Maiti, et al.
SciPost Physics Core (2025) Vol. 8, Iss. 1
Open Access
J. Howard, Marc S. Klinger, Anindita Maiti, et al.
SciPost Physics Core (2025) Vol. 8, Iss. 1
Open Access
Unveiling the power of uncertainty: A journey into Bayesian Neural Networks for stellar dating
Víctor Tamames Rodero, A. Moya, Luis Manuel Sarro Baro, et al.
Astronomy and Computing (2025), pp. 100957-100957
Closed Access
Víctor Tamames Rodero, A. Moya, Luis Manuel Sarro Baro, et al.
Astronomy and Computing (2025), pp. 100957-100957
Closed Access
Uncertainty-Aware and Explainable Human Error Detection in the Operation of Nuclear Power Plants
Bhavya Reddy, Ezgi Gursel, Katy Daniels, et al.
Nuclear Technology (2024) Vol. 210, Iss. 12, pp. 2312-2330
Closed Access | Times Cited: 1
Bhavya Reddy, Ezgi Gursel, Katy Daniels, et al.
Nuclear Technology (2024) Vol. 210, Iss. 12, pp. 2312-2330
Closed Access | Times Cited: 1
Machine learning methods for extracting cosmological information
Natalí S. M. de Santi
(2024)
Open Access
Natalí S. M. de Santi
(2024)
Open Access
Bayesian optimization of gray-box process models using a modified upper confidence bound acquisition function
Joschka Winz, Florian Fromme, Sebastian Engell
Computers & Chemical Engineering (2024), pp. 108976-108976
Open Access
Joschka Winz, Florian Fromme, Sebastian Engell
Computers & Chemical Engineering (2024), pp. 108976-108976
Open Access
Bayes in action in deep learning and dictionary learning
Julyan Arbel, Hong-Phuong Dang, Clément Elvira, et al.
ESAIM Proceedings and Surveys (2023) Vol. 74, pp. 90-107
Open Access
Julyan Arbel, Hong-Phuong Dang, Clément Elvira, et al.
ESAIM Proceedings and Surveys (2023) Vol. 74, pp. 90-107
Open Access
