Aleksandar Botev
About
Aleksandar Botev has authored 12 papers that have received a total of 192 indexed citations.
This includes 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Nuclear and High Energy Physics. The topics of these papers are Model Reduction and Neural Networks (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Aleksandar Botev is often cited by papers focused on Model Reduction and Neural Networks (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in United Kingdom, United States and Switzerland. Aleksandar Botev's co-authors include David Barber, Danilo Jimenez Rezende, Sébastien Racanière, Hippolyt Ritter and Phiala E. Shanahan and has published in prestigious journals such as Physical review. D and The European Physical Journal A
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