Michael Figurnov

5 papers and 244 indexed citations i.

Michael Figurnov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Figurnov has authored 5 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Michael Figurnov’s work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Michael Figurnov is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Michael Figurnov collaborates with scholars based in Russia and United States. Michael Figurnov's co-authors include Dmitry Vetrov, Li Zhang, Ruslan Salakhutdinov, Yukun Zhu, Maxwell D. Collins, Jonathan Huang, Pushmeet Kohli, Mihaela Rosca, Andriy Mnih and Shakir Mohamed and has published in prestigious journals such as Journal of Machine Learning Research, Bulletin of the Polish Academy of Sciences Technical Sciences and arXiv (Cornell University).