Rafael Rafailov

4 papers and 19 indexed citations i.

Rafael Rafailov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Rafael Rafailov has authored 4 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Rafael Rafailov’s work include Reinforcement Learning in Robotics (2 papers), Machine Learning and Data Classification (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Rafael Rafailov is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Machine Learning and Data Classification (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Rafael Rafailov collaborates with scholars based in United States. Rafael Rafailov's co-authors include Eric Mitchell, Chelsea Finn, Christopher D. Manning, Huaxiu Yao, Archit Sharma, Stefano Ermon, Senthil Purushwalkam, Shafiq Joty, Nikhil Naik and Linqi Zhou and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Machine Learning and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.