Paul K. Rubenstein

12 papers and 78 indexed citations i.

Paul K. Rubenstein has authored 12 papers that have received a total of 78 indexed citations. This includes 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. The topics of these papers are Generative Adversarial Networks and Image Synthesis (3 papers), Neural Networks and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Paul K. Rubenstein is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Neural Networks and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in Germany, United States and United Kingdom. Paul K. Rubenstein's co-authors include Bernhard Schölkopf, Ilya Tolstikhin, Josip Djolonga, Golan Pundak and Arash Mehrjou and has published in prestigious journals such as The American Journal of Cardiology and The Cambridge Law Journal.