Volodymyr Mnih
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PhD Student Email: vmnih at cs dot toronto dot edu |
About Me
I'm a PhD student in the Department of Computer Science at the University of Toronto working under the supervision of Geoffrey Hinton. I completed my Master's degree in computing science at the University of Alberta where I was supervised by Csaba Szepesvari.Research Interests
My main research interests are in machine learning and computer vision. I have mostly been working on methods for extracting information from aerial imagery. During the course of this work I have developed the cudamat library for Python, which makes it easy to implement many common machine learning algorithms on a GPU in a few dozen lines of code.Publications
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Modeling Natural Images Using Gated MRFs [PDF]
Marc'Aurelio Ranzato, Volodymyr Mnih, Joshua Susskind, Geoffrey Hinton
To appear in IEEE Trans. Pattern Analysis and Machine Intelligence, 2013. -
Learning to Label Aerial Images from Noisy Data [PDF] [BibTeX]
Volodymyr Mnih and Geoffrey Hinton
In Proceedings of the 29th International Conference on Machine Learning, 2012. -
Conditional Restricted Boltzmann Machines for Structured Output Prediction. [PDF] [BibTeX]
Volodymyr Mnih, Hugo Larochelle and Geoffrey Hinton
In Proc. of The 27th Conference on Uncertainty in Artificial Intelligence, 2011. -
On Deep Generative Models with Applications to Recognition. [PDF] [BibTeX]
Marc'Aurelio Ranzato, Joshua Susskind, Volodymyr Mnih, Geoffrey Hinton
In Proc. of Computer Vision and Pattern Recognition Conference, 2011. -
How to generate realistic images using gated MRFs. [PDF] [BibTeX]
Marc'Aurelio Ranzato, Volodymyr Mnih, Geoffrey Hinton
In Advances in Neural Information Processing Systems 23, 2010. -
Learning to Detect Roads in High-Resolution Aerial Images. [PDF] [BibTeX]
Volodymyr Mnih and Geoffrey Hinton
European Conference on Computer Vision, 2010. -
CUDAMat: A CUDA-based matrix class for Python. [PDF] [BibTeX]
Volodymyr Mnih
UTML TR 2009-004. -
Efficient Stopping Rules [PDF]
Volodymyr Mnih
Master's Thesis, University of Alberta, Edmonton, 2008. -
Empirical Bernstein Stopping [PDF] [BibTeX]
Volodymyr Mnih, Csaba Szepesvari, Jean-Yves Audibert
In Proceedings of the 25th International Conference on Machine Learning, 2008. -
Topological Map Learning from Outdoor Image Sequences [PDF]
Xuming He, Richard Zemel, Volodymyr Mnih
In Journal of Field Robotics, 23: 1091-1104, 2006. -
Memview: A Pedagogically-Motivated Visual Debugger
Paul Gries, Volodymyr Mnih, Jonathan Taylor, Greg Wilson, and Lee Zamparo
In ASEE/IEEE Frontiers in Education, 2005.