James Requeima

33 total papers · 441 total citations
6 papers, 28 citations indexed

James Requeima is a scholar working on Artificial Intelligence, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, James Requeima has authored 6 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Atmospheric Science and 2 papers in Global and Planetary Change. Recurrent topics in James Requeima’s work include Gaussian Processes and Bayesian Inference (3 papers), Meteorological Phenomena and Simulations (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). James Requeima is often cited by papers focused on Gaussian Processes and Bayesian Inference (3 papers), Meteorological Phenomena and Simulations (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). James Requeima collaborates with scholars based in United Kingdom, United States and Canada. James Requeima's co-authors include Richard E. Turner, Jonathan Gordon, Sebastian Nowozin, Matthew A. Lazzara, J. Scott Hosking, Daniel C. Jones, Tom R. Andersson, Nicholas D. Lane, Matthew Chantry and Michael Herzog and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Apollo (University of Cambridge).