Jacob Steinhardt

40 papers and 1.3k indexed citations i.

Jacob Steinhardt has authored 40 papers that have received a total of 1.3k indexed citations. This includes 30 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Statistics and Probability. The topics of these papers are Adversarial Robustness in Machine Learning (12 papers), Machine Learning and Algorithms (8 papers) and Machine Learning and Data Classification (8 papers). Jacob Steinhardt is often cited by papers focused on Adversarial Robustness in Machine Learning (12 papers), Machine Learning and Algorithms (8 papers) and Machine Learning and Data Classification (8 papers) and collaborates with scholars based in United States, United Kingdom and Australia. Jacob Steinhardt's co-authors include Percy Liang, Dan Hendrycks, Dawn Song, Steven Basart and Aditi Raghunathan and has published in prestigious journals such as Communications of the ACM, International Journal of Epidemiology and The Annals of Statistics.