Pavel Izmailov

9 papers and 115 indexed citations i.

Pavel Izmailov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Pavel Izmailov has authored 9 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. Recurrent topics in Pavel Izmailov’s work include Machine Learning and Data Classification (4 papers), Advanced Neural Network Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Pavel Izmailov is often cited by papers focused on Machine Learning and Data Classification (4 papers), Advanced Neural Network Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Pavel Izmailov collaborates with scholars based in United States, Russia and Germany. Pavel Izmailov's co-authors include Andrew Gordon Wilson, Marc Finzi, Ben Athiwaratkun, Polina Kirichenko, Ibrahim Alabdulmohsin, Mathilde Caron, Lucas Beyer, Michael Tschannen, Xiaohua Zhai and Matthias Minderer and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and International Conference on Machine Learning.