2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Unsupervised representation learning with recognition-parametrised probabilistic models
William I. Walker, Hugo Soulat, Changmin Yu +1
We introduce a new approach to probabilistic unsupervised learning based on the recognition-parametrised model (RPM): a normalised semi-parametric hypothesis class for joint distri…
cs.LG2022★ 2 cited
Structured Recognition for Generative Models with Explaining Away
Changmin Yu, Hugo Soulat, Neil Burgess +1
A key goal of unsupervised learning is to go beyond density estimation and sample generation to reveal the structure inherent within observed data. Such structure can be expressed…
stat.ML2018
Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference
Leon Chlon, Andrew Song, Sandya Subramanian +4
Electroencephalographic (EEG) monitoring of neural activity is widely used for sleep disorder diagnostics and research. The standard of care is to manually classify 30-second epoch…