Find out more about the breadth of our research below.
In these videos, our researchers explain some of the work they're involved with. You can also see a selection of Research Posters presented by our students at the annual CDT Meeting.
Andreas Kirsch - BatchBALD Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Ada Alevzaki – Localisation and policy synthesis for underwater swarming autonomous vehicles with probabilistic guarantees about safe exploration and reachability requirements
Siddhant Gangapurwala – Generative Adversarial Imitation Learning for Quadrupedal Locomotion using Unstructured Expert Demonstrations
Shuyu Lin – Gaussian Process Based Spatial Inference of Environmental Properties with Noisy Location Data