Casey Chu
About
Casey Chu has authored 2 papers that have received a total of 7 indexed citations.
This includes 2 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are 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) and collaborates with scholars based in United States and Japan. Casey Chu's co-authors include José Blanchet, Peter W. Glynn, Kentaro Minami and Kenji Fukumizu and has published in prestigious journals such as and
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