Tom Rainforth
About
Tom Rainforth has authored 21 papers that have received a total of 86 indexed citations.
This includes 19 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. The topics of these papers are Adversarial Robustness in Machine Learning (6 papers), Machine Learning and Algorithms (5 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Tom Rainforth is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Machine Learning and Algorithms (5 papers) and Generative Adversarial Networks and Image Synthesis (4 papers) and collaborates with scholars based in United Kingdom, United States and Canada. Tom Rainforth's co-authors include Frank Wood, Yee Whye Teh, Émile Mathieu, N. Siddharth and Hongseok Yang and has published in prestigious journals such as Journal of Machine Learning Research and Statistical Science
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