Avi Schwarzschild

48 total papers · 940 total citations
4 papers, 97 citations indexed

Avi Schwarzschild is a scholar working on Artificial Intelligence, Signal Processing and Infectious Diseases. According to data from OpenAlex, Avi Schwarzschild has authored 4 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Signal Processing and 0 papers in Infectious Diseases. Recurrent topics in Avi Schwarzschild’s work include Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Avi Schwarzschild is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Avi Schwarzschild collaborates with scholars based in United States and Germany. Avi Schwarzschild's co-authors include Micah Goldblum, Tom Goldstein, Xinyun Chen, Dawn Song, Bo Li, Dimitris Tsipras, Chulin Xie, Aleksander Mądry, Christoph Studer and Chen Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and International Conference on Machine Learning.