amos storkey
I am Professor of Machine Learning and Artificial Intelligence in the School of Informatics, University of Edinburgh, UK. See the contact pages for my email address, work location and maps.
Our group works in machine learning, reinforcement learning and language models. In particular we look at data efficient machine learning and reinforcement learning, continual learning, generative models, world models, multi-agent reinforcement learning, Bayesian statistical understanding of machine learning, multimodal learning, information theory, and distributed or edge-suitable machine learning methods. We focus on methods that are competitive with current state of the art. In application terms we have generally focused more on image/video domains or temporal models.
We have PhD studentships and postdoc places available NOW. https://www.bayeswatch.com/vacancies/.
Understanding Deep Learning
Building Neural Networks under Real World Constraints
Meta-Learning and Few Shot Learning
Exploration-Driven Reinforcement Learning
Bayesian Methods, Gaussian Processes and Graphical Models
Stochastic Differential Systems, including Sampling Bayesian Posteriors
Transactional Machine Learning and Machine Learning Markets
Bayesian and Tailored Neural Network Methods for Medical Imaging (esp Brain Imaging and Retinal Imaging)
Learning to Generate Music.
Further information on projects, my research group, publications and a research blog can be found on the Bayeswatch group website: