Kieran Milan

2 papers and 2.6k indexed citations i.

Kieran Milan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Kieran Milan has authored 2 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Management Science and Operations Research and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Kieran Milan’s work include Gaussian Processes and Bayesian Inference (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Model Reduction and Neural Networks (1 paper). Kieran Milan is often cited by papers focused on Gaussian Processes and Bayesian Inference (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Model Reduction and Neural Networks (1 paper). Kieran Milan collaborates with scholars based in United Kingdom, Canada and United States. Kieran Milan's co-authors include Demis Hassabis, Joel Veness, John Quan, Claudia Clopath and Raia Hadsell and has published in prestigious journals such as Proceedings of the National Academy of Sciences.