Pascal Poupart

100 papers and 1.7k indexed citations i.

Pascal Poupart has authored 100 papers that have received a total of 1.7k indexed citations. This includes 86 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 15 papers in Computer Networks and Communications. 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, Relu Patrascu and Lili Mou and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Cybernetics and Journal of Machine Learning Research.