Bayesian Deep Learning Research Group

Prof Maurizio Filippone leads the Bayesian Deep Learning (BDL) group

Keywords:

Bayesian Inference, Deep Learning, Gaussian Processes

The Bayesian Deep Learning group focuses on the development of flexible and scalable approaches to infer quantities of interest in a variety of statistical modeling scenarios in life and environmental sciences, with the ultimate goal of obtaining a sound quantification of uncertainty to assist decision-making.

Please follow the links offered below to find out more about the currently ongoing projects but also about the internship opportunities that exist within the team. The group, as you can see by looking at the people profiles, is extremely diverse, and we always welcome excellent students passionate about Bayesian inference, Deep Learning and Gaussian processes.