Ilia Sucholutsky

14 papers and 83 indexed citations i.

Ilia Sucholutsky has authored 14 papers that have received a total of 83 indexed citations. This includes 13 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Data Classification (4 papers), Topic Modeling (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Ilia Sucholutsky is often cited by papers focused on Machine Learning and Data Classification (4 papers), Topic Modeling (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in Canada, United States and United Kingdom. Ilia Sucholutsky's co-authors include Matthias Schonlau, Thomas L. Griffiths, Sebastian Fischmeister, Apurva Narayan and Umang Bhatt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The Stata Journal Promoting communications on statistics and Stata.