Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent (2020)
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/10.48550/arxiv.2007.09971
Publication URI: https://arxiv.org/abs/2007.09971
Type: Preprint