James Martens
About
James Martens has authored 25 papers that have received a total of 2.9k indexed citations.
This includes 20 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Statistical and Nonlinear Physics. The topics of these papers are Model Reduction and Neural Networks (8 papers), Stochastic Gradient Optimization Techniques (8 papers) and Neural Networks and Applications (7 papers). James Martens is often cited by papers focused on Model Reduction and Neural Networks (8 papers), Stochastic Gradient Optimization Techniques (8 papers) and Neural Networks and Applications (7 papers) and collaborates with scholars based in Canada, United States and Australia. James Martens's co-authors include Roger Grosse, Ilya Sutskever, Jimmy Ba, Zachary Nado and Sébastien Racanière and has published in prestigious journals such as Journal of Machine Learning Research, Biological Cybernetics and Trends in Cardiovascular Medicine
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