James Requeima

6 papers and 28 indexed citations i.

James Requeima has authored 6 papers that have received a total of 28 indexed citations. This includes 6 papers in Artificial Intelligence, 1 paper in Global and Planetary Change and 1 paper in Atmospheric Science. The topics of these papers are Domain Adaptation and Few-Shot Learning (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Machine Learning in Healthcare (1 paper). James Requeima is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Machine Learning in Healthcare (1 paper) and collaborates with scholars based in United Kingdom, United States and Israel. James Requeima's co-authors include Richard E. Turner, Jonathan Gordon, Sebastian Nowozin, John Bronskill and Matthew A. Lazzara and has published in prestigious journals such as and