Stefano Ermon

139 papers and 5.2k indexed citations i.

Stefano Ermon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Stefano Ermon has authored 139 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Artificial Intelligence, 55 papers in Computer Vision and Pattern Recognition and 11 papers in Global and Planetary Change. Recurrent topics in Stefano Ermon’s work include Generative Adversarial Networks and Image Synthesis (28 papers), Bayesian Modeling and Causal Inference (18 papers) and Domain Adaptation and Few-Shot Learning (15 papers). Stefano Ermon is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (28 papers), Bayesian Modeling and Causal Inference (18 papers) and Domain Adaptation and Few-Shot Learning (15 papers). Stefano Ermon collaborates with scholars based in United States, China and India. Stefano Ermon's co-authors include David B. Lobell, Marshall Burke, Burak Uzkent, Aditya Grover and Bart Selman and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.