Matthew Willetts

Matthew Willetts

Large scale machine learning, Bayesian methods, VAEs, Time series segmentation and classification

I am a DPhil student supervised by Prof Chris Holmes and Prof Steve Roberts working on development and implementation of algorithms for segmentation and classification of large time series datasets.

Currently my interests lie in variational methods for Bayesian inference. I am working on semi-supervised variational auto-encoders.