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).