Dan Rosenbaum

4 papers and 66 indexed citations i.

Dan Rosenbaum is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Dan Rosenbaum has authored 4 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Dan Rosenbaum’s work include Machine Learning and Data Classification (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Visual perception and processing mechanisms (1 paper). Dan Rosenbaum is often cited by papers focused on Machine Learning and Data Classification (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Visual perception and processing mechanisms (1 paper). Dan Rosenbaum collaborates with scholars based in Israel, United States and United Kingdom. Dan Rosenbaum's co-authors include Yair Weiss, Yee Whye Teh, Alon Gonen, Danilo Jimenez Rezende, David Saxton, Daniel Zoran, Tiago Ramalho, S. M. Ali Eslami, Murray Shanahan and Marta Garnelo and has published in prestigious journals such as Journal of Machine Learning Research, Neural Information Processing Systems and International Conference on Machine Learning.