Ivan Kobyzev
About
Ivan Kobyzev has authored 15 papers that have received a total of 482 indexed citations.
This includes 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Geometry and Topology. The topics of these papers are Topic Modeling (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Algebraic structures and combinatorial models (4 papers). Ivan Kobyzev is often cited by papers focused on Topic Modeling (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Algebraic structures and combinatorial models (4 papers) and collaborates with scholars based in Canada, Sweden and Austria. Ivan Kobyzev's co-authors include Marcus A. Brubaker, Pascal Poupart, Ali Ghodsi, Mehdi Rezagholizadeh and Tianda Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Applied Categorical Structures.
In The Last Decade
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