Stefano Ermon

134 papers and 4.8k indexed citations i.

Stefano Ermon has authored 134 papers that have received a total of 4.8k indexed citations. This includes 84 papers in Artificial Intelligence, 55 papers in Computer Vision and Pattern Recognition and 11 papers in Global and Planetary Change. The topics of these papers are 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) and collaborates with scholars based in United States, China and India. Stefano Ermon's co-authors include David B. Lobell, Marshall Burke, Aditya Grover, Burak Uzkent and Bart Selman and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences