Heavy-tailed denoising score matching
Published in arXiv, 2021
Recommended citation: Deasy J, Simidjievski N and Lio P (2020). Constraining Variational Inference with Geometric Jensen-Shannon Divergence. arXiv preprint arXiv:2006.10599. http://jacobdeasy.github.io/files/publications/2021-12-17-heavy.pdf
This paper presents heavy-tailed DSM for score-based models, a generalisation of DSM training which benefits from the use of the generalised normal distribution. This was derived during my PhD with Prof. Pietro Lio at the University of Cambridge and is currently at the pre-print stage.