Jaehoon Lee

12 papers and 240 indexed citations i.

Jaehoon Lee has authored 12 papers that have received a total of 240 indexed citations. This includes 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Machine Learning and Data Classification (5 papers), Gaussian Processes and Bayesian Inference (5 papers) and Adversarial Robustness in Machine Learning (3 papers). Jaehoon Lee is often cited by papers focused on Machine Learning and Data Classification (5 papers), Gaussian Processes and Bayesian Inference (5 papers) and Adversarial Robustness in Machine Learning (3 papers) and collaborates with scholars based in United States, Japan and United Kingdom. Jaehoon Lee's co-authors include Roman Novak, Jascha Sohl‐Dickstein, Yasaman Bahri, Jeffrey Pennington and Lechao Xiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Access and Journal of Machine Learning Research