Casey Chu

10 total papers · 2.6k total citations
3 papers, 8 citations indexed

Casey Chu is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Casey Chu has authored 3 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Statistical and Nonlinear Physics, 2 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Casey Chu’s work include Model Reduction and Neural Networks (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Casey Chu is often cited by papers focused on Model Reduction and Neural Networks (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Casey Chu collaborates with scholars based in United States and Japan. Casey Chu's co-authors include José Blanchet, Kentaro Minami, Kenji Fukumizu and Peter W. Glynn and has published in prestigious journals such as arXiv (Cornell University) and Scholarship - Claremont (Claremont Colleges).