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Found 3 papers, 2 papers with code
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems
Bayesian methods for solving inverse problems are a powerful alternative to classical methods since the Bayesian approach offers the ability to quantify the uncertainty in the solution.
CAFLOW: Conditional Autoregressive Flows
We model the conditional distribution of the latent encodings by modeling the auto-regressive distributions with an efficient multi-scale normalizing flow, where each conditioning factor affects image synthesis at its respective resolution scale.
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification
Demonstrating that direct implementation of the cluster assumption is a viable alternative to the popular consistency based regularisation.
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