Jake Snell

6 papers and 186 indexed citations i.

Jake Snell is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Jake Snell has authored 6 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Jake Snell’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (1 paper) and Neural Networks and Applications (1 paper). Jake Snell is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Face recognition and analysis (1 paper) and Neural Networks and Applications (1 paper). Jake Snell collaborates with scholars based in Canada and United States. Jake Snell's co-authors include Richard S. Zemel, Renjie Liao, Brett D. Roads, Michael C. Mozer, Karl Ridgeway, Hugo Larochelle, Mengye Ren, Kevin Swersky, Sachin Ravi and Josh Tenenbaum and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.