Tim G. J. Rudner

7 papers and 59 indexed citations i.

Tim G. J. Rudner has authored 7 papers that have received a total of 59 indexed citations. This includes 6 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Global and Planetary Change. The topics of these papers are Gaussian Processes and Bayesian Inference (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Machine Learning and Data Classification (2 papers). Tim G. J. Rudner is often cited by papers focused on Gaussian Processes and Bayesian Inference (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Machine Learning and Data Classification (2 papers) and collaborates with scholars based in United Kingdom, Luxembourg and Czechia. Tim G. J. Rudner's co-authors include Dino Sejdinović, Shimon Whiteson, Yarin Gal, Tom Rainforth and Benjamin Bischke and has published in prestigious journals such as Entropy