BaSIS-Net: From point estimate to predictive distribution in neural networks - a Bayesian sequential importance sampling framework

Carannante, G., Bouaynaya, N., Mihaylova, L. orcid.org/0000-0001-5856-2223 et al. (1 more author) (2024) BaSIS-Net: From point estimate to predictive distribution in neural networks - a Bayesian sequential importance sampling framework. Transactions on Machine Learning Research. ISSN 2835-8856

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2024 The Author(s). Licensed under a CC BY 4.0 licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Dates:
  • Published: 2 July 2024
  • Published (online): 2 July 2024
  • Accepted: 1 June 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/T013265/1
Engineering and Physical Sciences Research Council
EP/T013265/1
Depositing User: Symplectic Sheffield
Date Deposited: 04 Jul 2024 15:44
Last Modified: 18 Jul 2024 15:55
Published Version: https://jmlr.org/tmlr/papers/
Status: Published online
Publisher: OpenReview
Refereed: Yes
Open Archives Initiative ID (OAI ID):

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