A Model for Learning Variance Components of Natural Images. - Yan Karklin; Michael S. Lewicki (NIPS, 2002)

Is Early Vision Optimized for Extracting Higher-order Dependencies? - Yan Karklin; Michael S. Lewicki (NIPS, 2005)

Classification of Non-Coding RNA Using Graph Representations of Secondary Structure. - Yan Karklin; Richard F. Meraz; Stephen R. Holbrook (Pacific Symposium on Biocomputing, 2005)

A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. - Yan Karklin; Michael S. Lewicki (Neural Comput., 2005)

Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons. - Yan Karklin; Eero P. Simoncelli (NIPS, 2011)

Hierarchical spike coding of sound. - Yan Karklin; Chaitanya Ekanadham; Eero P. Simoncelli (NIPS, 2012)

Back to the basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation. - Kevin H. Wilson; Yan Karklin; Bojian Han; Chaitanya Ekanadham (EDM, 2016)

T-SKIRT: Online Estimation of Student Proficiency in an Adaptive Learning System. - Chaitanya Ekanadham; Yan Karklin (CoRR, 2017)