Tom Goldstein

92 papers and 5.4k indexed citations i.

Tom Goldstein has authored 92 papers that have received a total of 5.4k indexed citations. This includes 42 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 23 papers in Electrical and Electronic Engineering. The topics of these papers are Adversarial Robustness in Machine Learning (32 papers), Advanced MIMO Systems Optimization (20 papers) and Advanced Neural Network Applications (15 papers). Tom Goldstein is often cited by papers focused on Adversarial Robustness in Machine Learning (32 papers), Advanced MIMO Systems Optimization (20 papers) and Advanced Neural Network Applications (15 papers) and collaborates with scholars based in United States, Sweden and Germany. Tom Goldstein's co-authors include Christoph Studer, Oscar Castañeda, Micah Goldblum, Giuseppe Durisi and Sven Jacobsson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing