Stefano Ermon
About
Stefano Ermon has authored 27 papers that have received a total of 139 indexed citations.
This includes 21 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (8 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Gaussian Processes and Bayesian Inference (6 papers). Stefano Ermon is often cited by papers focused on Machine Learning and Algorithms (8 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Gaussian Processes and Bayesian Inference (6 papers) and collaborates with scholars based in United States, China and India. Stefano Ermon's co-authors include Carla P. Gomes, Bart Selman, Ashish Sabharwal and Volodymyr Kuleshov and has published in prestigious journals such as npj Computational Materials.
In The Last Decade
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