Pascal Poupart
About
Pascal Poupart has authored 100 papers that have received a total of 1.6k indexed citations.
This includes 86 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 16 papers in Computational Theory and Mathematics. The topics of these papers are Bayesian Modeling and Causal Inference (27 papers), Reinforcement Learning in Robotics (23 papers) and Topic Modeling (21 papers). Pascal Poupart is often cited by papers focused on Bayesian Modeling and Causal Inference (27 papers), Reinforcement Learning in Robotics (23 papers) and Topic Modeling (21 papers) and collaborates with scholars based in Canada, United States and China. Pascal Poupart's co-authors include Craig Boutilier, Jesse Hoey, James Tung, Lili Mou and Dale Schuurmans and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Cybernetics and Journal of Machine Learning Research
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