Jay Whang

4 papers and 183 indexed citations i.

Jay Whang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Jay Whang has authored 4 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Jay Whang’s work include Model Reduction and Neural Networks (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Jay Whang is often cited by papers focused on Model Reduction and Neural Networks (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Jay Whang collaborates with scholars based in United States, United Kingdom and Israel. Jay Whang's co-authors include Alexandros G. Dimakis, Nir Shlezinger, Yonina C. Eldar, Mauricio Delbracio, Peyman Milanfar, Hossein Talebi, Chitwan Saharia, Erik Lindgren and Hyeji Kim and has published in prestigious journals such as Proceedings of the IEEE, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and International Conference on Machine Learning.