Refereed publications
- Learning Recurrent Neural Networks with Hessian-Free Optimization
James Martens, Ilya Sutskever
In Proceedings of the 28th International Conference on Machine Learning (ICML), 2011
[PDF] [Supplement] [Video]
- Generating Text with Recurrent Neural Networks
Ilya Sutskever, James Martens, Geoffrey Hinton
In Proceedings of the 28th International Conference on Machine Learning (ICML), 2011
[PDF]
- Normalization for probabilistic inference with neurons
Chris Eliasmith, James Martens
In Biological Cybernetics, 2011
- Deep Learning via Hessian-free Optimization
James Martens
In Proceedings of the 27th International Conference on Machine Learning (ICML), 2010
[PDF] [Slides] [Code]
- Learning the Linear Dynamical System with ASOS
James Martens
In Proceedings of the 27th International Conference on Machine Learning (ICML), 2010
[PDF] [Supplement and code] [Slides]
- Parallelizable Sampling of Markov Random Fields
James Martens, Ilya Sutskever
In Proceedings of Artificial Intelligence and Statistics (AISTATS), 2010
[PDF]
- Novel Lead Configurations for Robust Bio-Impedance Acquisition
Joel Ironstone, Milan Graovac, James Martens, Martin Rozee, K.C. Smith
In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2007
Theses
- A New Algorithm for Rapid Parameter Learning in Linear Dynamical Systems
James Martens
Master's Thesis, Dept. of Computer Science, University of Toronto
[PDF]
Posters/Presentations
- A neurologically plausible implementation of statistical inference applied to random dot motion
James Martens, Chris Eliasmith
Submitted poster, Computational Neuroscience (CNS), 2007
- Challenges for biological bayes: Solving normalization
Chris Eliasmith, James Martens
Presentation, COSYNE Workshop on Statistical Inference in the Brain, 2007
- A biologically realistic model of statistical inference applied to random dot motion
James Martens, Chris Eliasmith
Submitted poster, COSYNE, 2007
Patents
- Weighted gradient method and system for diagnosing disease.
Milan Graovac, James Martens, Zorin Pavlovic, Joel Ironstone
U.S. patent