Benjamin Eysenbach

6 papers and 100 indexed citations .

Benjamin Eysenbach is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Benjamin Eysenbach has authored 6 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Safety Research. Recurrent topics in Benjamin Eysenbach’s work include Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Image Retrieval and Classification Techniques (1 paper). Benjamin Eysenbach is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Image Retrieval and Classification Techniques (1 paper). Benjamin Eysenbach collaborates with scholars based in United States, Canada and Germany. Benjamin Eysenbach's co-authors include Kenney Ng, Bum Chul Kwon, Walter F. Stewart, Adam Perer, Sergey Levine, Shixiang Gu, Julian Ibarz, Abhishek Gupta, Kyle Hsu and Pieter Abbeel and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, arXiv (Cornell University) and International Conference on Machine Learning.