Kevin Swersky

25 papers and 3.6k indexed citations i.

Kevin Swersky has authored 25 papers that have received a total of 3.6k indexed citations. This includes 22 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. The topics of these papers are Machine Learning and Data Classification (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Gaussian Processes and Bayesian Inference (5 papers). Kevin Swersky is often cited by papers focused on Machine Learning and Data Classification (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Gaussian Processes and Bayesian Inference (5 papers) and collaborates with scholars based in United States, Canada and United Kingdom. Kevin Swersky's co-authors include Ryan P. Adams, Nando de Freitas, Rich Zemel, Jasper Snoek and Milad Hashemi and has published in prestigious journals such as Proceedings of the IEEE and Journal of Machine Learning Research.