Jesse Bettencourt

2 papers and 916 indexed citations i.

Jesse Bettencourt is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jesse Bettencourt has authored 2 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jesse Bettencourt’s work include Model Reduction and Neural Networks (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Neural Networks and Applications (1 paper). Jesse Bettencourt is often cited by papers focused on Model Reduction and Neural Networks (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Neural Networks and Applications (1 paper). Jesse Bettencourt collaborates with scholars based in Canada and United States. Jesse Bettencourt's co-authors include David Duvenaud, Yulia Rubanova, Ricky T. Q. Chen and Matthew Johnson and has published in prestigious journals such as arXiv (Cornell University).