Ishaan Gulrajani

3 papers and 52 indexed citations i.

Ishaan Gulrajani is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Ishaan Gulrajani has authored 3 papers receiving a total of 52 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Biomedical Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Ishaan Gulrajani’s work include Generative Adversarial Networks and Image Synthesis (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Multimodal Machine Learning Applications (1 paper). Ishaan Gulrajani is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Multimodal Machine Learning Applications (1 paper). Ishaan Gulrajani collaborates with scholars based in United States and Israel. Ishaan Gulrajani's co-authors include Chris Donahue, Shuo Chen, Adam P. Roberts, Kumar Krishna Agrawal, Jesse Engel, David López-Paz, Aaron Courville, Faruk Ahmed, Kundan Kumar and David Vázquez and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Learning Representations.