Scholar
Amos Storkey
Google Scholar ID: 3Rlc8EAAAAAJ
Professor of Machine Learning and AI, School of Informatics, University of Edinburgh, UK
Citations & Impact
Citations
15,090
H-index
43
i10-index
91
Publications
20
Co-authors
48
list available
Contact
No contact links provided.
Publications
Resume (English only)
Research Experience
- Research areas include: 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.
Background
- Professor in the School of Informatics, University of Edinburgh. Long history of research in machine learning methods, generative models and generative AI, machine learning and deep learning methodology, and model understanding and efficiency.
Miscellany
- PhD studentships and postdoc places are available. More information can be found on the Bayeswatch group website.
