Paul K. Rubenstein

12 papers and 76 indexed citations i.

Paul K. Rubenstein has authored 12 papers that have received a total of 76 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), Domain Adaptation and Few-Shot Learning (2 papers) and Neural Networks and Applications (2 papers). Paul K. Rubenstein is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Neural Networks and Applications (2 papers) and collaborates with scholars based in Germany, United States and United Kingdom. Paul K. Rubenstein's co-authors include Josip Djolonga, Ilya Tolstikhin, Bernhard Schölkopf, Chung‐Cheng Chiu and Olivier Bousquet and has published in prestigious journals such as The American Journal of Cardiology and The Cambridge Law Journal