Rohan Taori

4 papers and 118 indexed citations i.

Rohan Taori is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rohan Taori has authored 4 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rohan Taori’s work include Anomaly Detection Techniques and Applications (2 papers), COVID-19 diagnosis using AI (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Rohan Taori is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), COVID-19 diagnosis using AI (1 paper) and Adversarial Robustness in Machine Learning (1 paper). Rohan Taori collaborates with scholars based in United States and United Kingdom. Rohan Taori's co-authors include Amog Kamsetty, Ludwig Schmidt, Inioluwa Deborah Raji, Vaishaal Shankar, Benjamin Recht, Achal Dave, Nicholas Carlini, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman and Jianfeng Gao and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).