David Duvenaud

46 papers and 3.0k indexed citations i.

David Duvenaud has authored 46 papers that have received a total of 3.0k indexed citations. This includes 40 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 10 papers in Statistical and Nonlinear Physics. The topics of these papers are Generative Adversarial Networks and Image Synthesis (16 papers), Gaussian Processes and Bayesian Inference (13 papers) and Model Reduction and Neural Networks (9 papers). David Duvenaud is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (16 papers), Gaussian Processes and Bayesian Inference (13 papers) and Model Reduction and Neural Networks (9 papers) and collaborates with scholars based in Canada, United States and United Kingdom. David Duvenaud's co-authors include Ryan P. Adams, Ricky T. Q. Chen, Matthew Johnson, Roger Grosse and Geoffrey Roeder and has published in prestigious journals such as Cognitive Psychology, ACS Central Science and Computer Graphics Forum