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Roland Memisevic Computer scientist

Roland Memisevic’s research interests are in machine learning and computer vision. He develops algorithms that extract information from large amounts of data, with a particular focus on the extraction of spatial and spatio-temporal features from images and videos. Memisevic is also interested in the development of deep learning architectures and bio-inspired models, and their applications in automatic data analysis.


NSERC Discovery Grant, 2013.

Relevant Publications

R. Memisevic and G. E. Hinton, "Learning to represent spatial transformations with factored higher-order Boltzmann machines," Neural Computation, vol. 22, no. 6, pp. 1473-1492, June 2010.



Fellow Learning in Machines & Brains


Université de MontréalDépartement d'lnformatique et de Recherche Operationelle


PhD (Computer Science) University of Toronto

Diplom (Computer Science, with distinction) Bielefeld University



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