yan karklin

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Michael LewickiAssoc Prof, Elec Engr & Comp Sci, Case Western Reserve UniversityVerified email at case.edu
Chaitanya Ekanadhamcontent machine learning @ netflixVerified email at netflix.com
Eero P SimoncelliSilver Professor of Neural Science, Mathematics, Data Science, and Psychology, NYU.Verified email at nyu.edu
Michael MozerGoogle DeepMind; University of ColoradoVerified email at colorado.edu
Neil HeffernanProfessor of Computer Science, Director of the Learning Sciences and TechnologiesVerified email at cs.wpi.edu
Joseph BeckWorcester Polytechnic InstituteVerified email at wpi.edu
Robert LindseyImagen TechnologiesVerified email at imagen.ai
Xiaolu XiongWorcester Polytechnic InstituteVerified email at wpi.edu
Siyuan ZhaoPh.D. Student of Computer Science, Worcester Polytechnic InstituteVerified email at wpi.edu
Shiwen ZhaoAppleVerified email at apple.com
Eric G Van InwegenPrivate Researcher

yan karklin

data scientist at knewton, inc

Verified email at karklin.com - Homepage

machine learning for education computational neuroscience machine vision


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Emergence of complex cell properties by learning to generalize in natural scenes Y Karklin, MS Lewicki Nature 457 (7225), 83-86, 2009	286	2009
A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals Y Karklin, MS Lewicki Neural Computation 17 (2), 397-423, 2005	198	2005
Learning higher-order structures in natural images Y Karklin, MS Lewicki Network: Computation in Neural Systems 14 (3), 483-499, 2003	155	2003
Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation KH Wilson, Y Karklin, B Han, C Ekanadham arXiv preprint arXiv:1604.02336, 2016	150	2016
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons Y Karklin, EP Simoncelli Advances in neural information processing systems 24, 2011	116	2011
Classification of non-coding RNA using graph representations of secondary structure Y Karklin, RF Meraz, SR Holbrook Pacific Symposium on Biocomputing 10, 4-15, 2005	79	2005
Estimating student proficiency: Deep learning is not the panacea KH Wilson, X Xiong, M Khajah, RV Lindsey, S Zhao, Y Karklin, ...	60	2016
T-skirt: Online estimation of student proficiency in an adaptive learning system C Ekanadham, Y Karklin Machine Learning for Education Workshop at ICML, 2015	55	2015
Is early vision optimized for extracting higher-order dependencies? Y Karklin, MS Lewicki Advances in neural information processing systems, 635-642, 2005	21	2005
Hierarchical spike coding of sound Y Karklin, C Ekanadham, EP Simoncelli Advances in neural information processing systems 25, 2012	14	2012
Hierarchical statistical models of computation in the visual cortex Y Karklin Carnegie Mellon University, 2007	10	2007
A model for learning variance components of natural images Y Karklin, MS Lewicki Advances in neural information processing systems 15 2, 2002	5	2002
A Statistical Measure for Human Face Symmetry and its Application in Identification of Human Faces with Expressions D Bohus, M Fasnacht, Y Karklin		2000

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