Dmytro Perekrestenko

5 papers and 206 indexed citations i.

Dmytro Perekrestenko is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Dmytro Perekrestenko has authored 5 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Dmytro Perekrestenko’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Model Reduction and Neural Networks (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Dmytro Perekrestenko is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Model Reduction and Neural Networks (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Dmytro Perekrestenko collaborates with scholars based in Switzerland, Austria and United States. Dmytro Perekrestenko's co-authors include Michael Tschannen, Helmut Bölcskei, Philipp Grohs, Dennis Elbrächter, Volkan Cevher, Martin Jaggi and Stephan A. Müller and has published in prestigious journals such as IEEE Transactions on Information Theory, Partial Differential Equations and Applications and International Conference on Machine Learning.