Andrew Gordon Wilson

45 papers and 852 indexed citations i.

Andrew Gordon Wilson has authored 45 papers that have received a total of 852 indexed citations. This includes 40 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. The topics of these papers are Gaussian Processes and Bayesian Inference (22 papers), Machine Learning and Data Classification (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Andrew Gordon Wilson is often cited by papers focused on Gaussian Processes and Bayesian Inference (22 papers), Machine Learning and Data Classification (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers) and collaborates with scholars based in United States, United Kingdom and China. Andrew Gordon Wilson's co-authors include Kilian Q. Weinberger, Geoff Pleiss, Pavel Izmailov, Jacob R. Gardner and Marc Finzi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Monthly Notices of the Royal Astronomical Society and Journal of Machine Learning Research.