Prafulla Dhariwal

4 papers and 350 indexed citations i.

Prafulla Dhariwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Prafulla Dhariwal has authored 4 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Prafulla Dhariwal’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Logic, Reasoning, and Knowledge (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Prafulla Dhariwal is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Logic, Reasoning, and Knowledge (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Prafulla Dhariwal collaborates with scholars based in and . Prafulla Dhariwal's co-authors include Diederik P. Kingma, Pieter Abbeel, Ilya Sutskever, Xi Chen, Tim Salimans, Yan Duan, John Schulman, Matthias Plappert, Marcin Andrychowicz and Szymon Sidor and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Learning Representations.