Motonobu Kanagawa

11 papers and 112 indexed citations i.

Motonobu Kanagawa has authored 11 papers that have received a total of 112 indexed citations. This includes 7 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Computational Theory and Mathematics. The topics of these papers are Gaussian Processes and Bayesian Inference (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Statistical Methods and Inference (2 papers). Motonobu Kanagawa is often cited by papers focused on Gaussian Processes and Bayesian Inference (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Statistical Methods and Inference (2 papers) and collaborates with scholars based in Japan, Germany and United Kingdom. Motonobu Kanagawa's co-authors include Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Dino Sejdinović and Simo Särkkä and has published in prestigious journals such as Neural Computation, Machine Learning and Data Mining and Knowledge Discovery.