Michael U. Gutmann

44 papers and 1.7k indexed citations i.

Michael U. Gutmann has authored 44 papers that have received a total of 1.7k indexed citations. This includes 26 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 8 papers in Cognitive Neuroscience. The topics of these papers are Gaussian Processes and Bayesian Inference (14 papers), Markov Chains and Monte Carlo Methods (8 papers) and Neural Networks and Applications (8 papers). Michael U. Gutmann is often cited by papers focused on Gaussian Processes and Bayesian Inference (14 papers), Markov Chains and Monte Carlo Methods (8 papers) and Neural Networks and Applications (8 papers) and collaborates with scholars based in Finland, United Kingdom and Norway. Michael U. Gutmann's co-authors include Jukka Corander, Pekka Marttinen, Aapo Hyvärinen, Samuel Kaski and William P. Hanage and has published in prestigious journals such as Bioinformatics, PLoS ONE and Annals of Surgery