Issei Sato

58 papers and 678 indexed citations i.

Issei Sato has authored 58 papers that have received a total of 678 indexed citations. This includes 38 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Statistics and Probability. The topics of these papers are Bayesian Methods and Mixture Models (10 papers), Gaussian Processes and Bayesian Inference (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Issei Sato is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Gaussian Processes and Bayesian Inference (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers) and collaborates with scholars based in Japan, United States and Canada. Issei Sato's co-authors include Hiroshi Nakagawa, Masashi Sugiyama, Sadao Ota, Osamu Abe and Yukihiro Nomura and has published in prestigious journals such as Science, ACM Transactions on Graphics and Neural Computation