Maja Rudolph
About
Maja Rudolph has authored 6 papers that have received a total of 66 indexed citations.
This includes 4 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 1 paper in Sociology and Political Science. The topics of these papers are Topic Modeling (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Maja Rudolph is often cited by papers focused on Topic Modeling (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper) and collaborates with scholars based in United States, Germany and United Kingdom. Maja Rudolph's co-authors include David M. Blei, Stephan Mandt, Marius Kloft, Heike Leitte and Jakob Burger and has published in prestigious journals such as Proceedings of the National Academy of Sciences and Chemie Ingenieur Technik
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