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Aapo Johannes Hyvärinen

Appointment

Fellow

Learning in Machines & Brains

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About

Aapo Hyvärinen is a computer scientist whose research interests include unsupervised learning (in particular, generative statistical models), computational systems, neuroscience and the visual system.

Awards

  • Nokia Educational Award, 2001

Relevant Publications

  • Hyvärinen, A. et al. Natural Image Statistics: A Probabilistic Approach to Early Computational Vision. Berlin: Springer-Verlag, 2009.

  • Hyvärinen, A. et al. Independent Component Analysis. New York: John Wiley & Sons, 2001.

  • Hyvärinen, A. et al. “Topographic independent component analysis.” Neural Comput. 13, no. 7 (2001): 1527–1558.

Institution

University of Helsinki

Department

Department of Computer Science

Education

  • PhD (Information Science), Helsinki University of Technology

Country

Finland

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The Canadian Institute for Advanced Research (CIFAR) is a globally influential research organization proudly based in Canada. We mobilize the world’s most brilliant people across disciplines and at all career stages to advance transformative knowledge and solve humanity’s biggest problems, together. We are supported by the governments of Canada, Alberta and Québec, as well as Canadian and international foundations, individuals, corporations and partner organizations.

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