Chris J. Maddison

19 papers and 7.5k indexed citations i.

Chris J. Maddison has authored 19 papers that have received a total of 7.5k indexed citations. This includes 14 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Statistics and Probability. The topics of these papers are Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Gaussian Processes and Bayesian Inference (3 papers). Chris J. Maddison is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Gaussian Processes and Bayesian Inference (3 papers) and collaborates with scholars based in Canada, United States and United Kingdom. Chris J. Maddison's co-authors include Yee Whye Teh, George Tucker, Arnaud Doucet, Daniel Tarlow and Andriy Mnih and has published in prestigious journals such as Nature, Endocrinology and Hormones and Behavior.