Ross Goroshin

32 total papers · 3.3k total citations
4 papers, 113 citations indexed

Ross Goroshin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Ross Goroshin has authored 4 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Ross Goroshin’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Anomaly Detection Techniques and Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Ross Goroshin is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Anomaly Detection Techniques and Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). Ross Goroshin collaborates with scholars based in United States, Switzerland and France. Ross Goroshin's co-authors include Hubert Soyer, Fabio Viola, Misha Denil, Piotr Mirowski, Dharshan Kumaran, Laurent Sifre, Andrew J. Ballard, Koray Kavukcuoglu, Andrea Banino and Raia Hadsell and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.