Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent (2021)
Attributed to:
Stochastic iterative regularization: theory, algorithms and applications
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/icpr48806.2021.9412521
Publication URI: http://dx.doi.org/10.1109/icpr48806.2021.9412521
Type: Conference/Paper/Proceeding/Abstract