Marcin Moczulski
About
Marcin Moczulski has authored 6 papers that have received a total of 43 indexed citations.
This includes 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Reinforcement Learning in Robotics (2 papers). Marcin Moczulski is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers) and Reinforcement Learning in Robotics (2 papers) and collaborates with scholars based in Canada, United Kingdom and Italy. Marcin Moczulski's co-authors include Mohammad Norouzi, Yijie Guo, Jongwook Choi, Honglak Lee and Yoshua Bengio and has published in prestigious journals such as and
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