Chris Ré

4 papers and 88 indexed citations i.

Chris Ré has authored 4 papers that have received a total of 88 indexed citations. This includes 4 papers in Artificial Intelligence, 2 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. The topics of these papers are Topic Modeling (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Imbalanced Data Classification Techniques (1 paper). Chris Ré is often cited by papers focused on Topic Modeling (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Imbalanced Data Classification Techniques (1 paper) and collaborates with scholars based in United States. Chris Ré's co-authors include Alex Ratner, Peter Bailis, Souvik Sen, Deepak Narayanan and Daniel Kang and has published in prestigious journals such as Communications of the ACM, BMC Bioinformatics and ACM SIGOPS Operating Systems Review