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 principled and scalable inference approaches for flexible modeling and sound uncertainty quantification with deep learning models, with the ultimate goal of assisting decision-making in various applications.

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. We always welcome applications from excellent students passionate about Bayesian inference, Deep Learning, and Gaussian processes.