Yan Karklin

  • Program Years: 2002-2006
  • Academic Institution: Carnegie Mellon University
  • Field of Study: Computational Neuroscience
  • Academic Advisor: Michael Lewicki
  • Practicum(s):
    Lawrence Berkeley National Laboratory (2003)
  • Degree(s):
    Ph.D. Computer Science, Carnegie Mellon University, 2007
    B.A. Neuroscience, Amherst College, 2000

Current Status

  • Status: Postdoctoral Researcher, Center for Neural Science, New York University
  • Research Area: Computational Neuroscience
  • Personal URL: http://www.cs.cmu.edu/~yan
  • Publications

    Is Early Vision Optimized for Extracting Higher-order Dependencies? Yan Karklin and Michael S. Lewicki. Adv. Neural Information Processing Systems 18, MIT Press, Cambridge, MA. (NIPS*2006)

    Classification of non-Coding RNA using graph representations of secondary structure. Yan Karklin, Richard F. Meraz, and Stephen R. Holbrook. Proceedings of the Pacific Symposium on Biocomputing 2005.

    Modeling Non-Stationary Distributions and Higher-Order Structure with Density Components. Yan Karklin and Michael S. Lewicki. Neural Computation 17:397-423, 2005.

    Learning higher-order structures in natural images. Yan Karklin and Michael S. Lewicki. Network: Computation in Neural Systems, 14: 483-499. 2003.

    Higher-order structure of natural images. Yan Karklin and Michael S. Lewicki. in Adv. Neural Information Processing Systems 15, MIT Press, Cambridge, MA. (NIPS*2003).