Michael S. Lewicki

24 papers Misc 1Journal 10Unranked 13

Year	Rank	Type	Title / Venue / Authors
2014	J	`jnl`	A Simple Model of Optimal Population Coding for Sensory Systems. PLoS Comput. Biol. Eizaburo Doi, Michael S. Lewicki
2011	J	`jnl`	Characterization of Minimum Error Linear Coding with Sensory and Neural Noise. Neural Comput. Eizaburo Doi, Michael S. Lewicki
2009	Misc	`conf`	Adaptive coding of images via multiresolution ICA. ICASSP Doru-Cristian Balcan, Michael S. Lewicki
2007	J	`jnl`	Robust Coding Over Noisy Overcomplete Channels. IEEE Trans. Image Process. Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki
2006	—	`conf`	A Theory of Retinal Population Coding. NIPS Eizaburo Doi, Michael S. Lewicki
2005	J	`jnl`	A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. Neural Comput. Yan Karklin, Michael S. Lewicki
2005	—	`conf`	A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels. NIPS Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki
2005	J	`jnl`	Efficient Coding of Time-Relative Structure Using Spikes. Neural Comput. Evan Smith, Michael S. Lewicki
2005	—	`conf`	Is Early Vision Optimized for Extracting Higher-order Dependencies? NIPS Yan Karklin, Michael S. Lewicki
2004	—	`conf`	Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters. NIPS Evan C. Smith, Michael S. Lewicki
2004	—	`conf`	Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units. NIPS Eizaburo Doi, Michael S. Lewicki
2002	—	`conf`	A Model for Learning Variance Components of Natural Images. NIPS Yan Karklin, Michael S. Lewicki
2002	J	`jnl`	Unsupervised image classification, segmentation, and enhancement using ICA mixture models. IEEE Trans. Image Process. Te-Won Lee, Michael S. Lewicki
2000	J	`jnl`	ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. IEEE Trans. Pattern Anal. Mach. Intell. Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
2000	J	`jnl`	Learning Overcomplete Representations. Neural Comput. Michael S. Lewicki, Terrence J. Sejnowski
2000	—	`conf`	Learning Sparse Image Codes using a Wavelet Pyramid Architecture. NIPS Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki
1999	J	`jnl`	Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Process. Lett. Te-Won Lee, Michael S. Lewicki, Mark A. Girolami, Terrence J. Sejnowski
1998	—	`conf`	Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. NIPS Michael S. Lewicki, Terrence J. Sejnowski
1998	—	`conf`	Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
1997	—	`conf`	Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. NIPS Michael S. Lewicki, Bruno A. Olshausen
1997	—	`conf`	Learning Nonlinear Overcomplete Representations for Efficient Coding. NIPS Michael S. Lewicki, Terrence J. Sejnowski
1996	—	`conf`	Bayesian Unsupervised Learning of Higher Order Structure. NIPS Michael S. Lewicki, Terrence J. Sejnowski
1994	J	`jnl`	Bayesian Modeling and Classification of Neural Signals. Neural Comput. Michael S. Lewicki
1993	—	`conf`	Bayesian Modeling and Classification of Neural Signals. NIPS Michael S. Lewicki