Amir Globerson
About
Amir Globerson has authored 83 papers that have received a total of 2.2k indexed citations.
This includes 68 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 11 papers in Computer Networks and Communications. The topics of these papers are Topic Modeling (19 papers), Natural Language Processing Techniques (17 papers) and Bayesian Modeling and Causal Inference (16 papers). Amir Globerson is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (17 papers) and Bayesian Modeling and Causal Inference (16 papers) and collaborates with scholars based in Israel, United States and United Kingdom. Amir Globerson's co-authors include Jonathan Berant, Naftali Tishby, Gal Chechik, Tommi Jaakkola and David Sontag and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience
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