Michael S. Lewicki Vis

*	2007
20	EE	Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki: Robust Coding Over Noisy Overcomplete Channels. IEEE Transactions on Image Processing 16(2): 442-452 (2007)
	2006
19	EE	Eizaburo Doi, Michael S. Lewicki: A Theory of Retinal Population Coding. NIPS 2006: 353-360
	2005
18	EE	Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki: A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels. NIPS 2005
17	EE	Yan Karklin, Michael S. Lewicki: Is Early Vision Optimized for Extracting Higher-order Dependencies? NIPS 2005
16	EE	Evan Smith, Michael S. Lewicki: Efficient Coding of Time-Relative Structure Using Spikes. Neural Computation 17(1): 19-45 (2005)
15	EE	Yan Karklin, Michael S. Lewicki: A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. Neural Computation 17(2): 397-423 (2005)
	2004
14	EE	Evan C. Smith, Michael S. Lewicki: Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters. NIPS 2004
13	EE	Eizaburo Doi, Michael S. Lewicki: Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units. NIPS 2004
	2002
12	EE	Yan Karklin, Michael S. Lewicki: A Model for Learning Variance Components of Natural Images. NIPS 2002: 1367-1374
11	EE	Te-Won Lee, Michael S. Lewicki: Unsupervised image classification, segmentation, and enhancement using ICA mixture models. IEEE Transactions on Image Processing 11(3): 270-279 (2002)
	2000
10		Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki: Learning Sparse Image Codes using a Wavelet Pyramid Architecture. NIPS 2000: 887-893
9	EE	Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski: ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1078-1089 (2000)
8		Michael S. Lewicki, Terrence J. Sejnowski: Learning Overcomplete Representations. Neural Computation 12(2): 337-365 (2000)
	1998
7	EE	Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski: Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS 1998: 508-514
6	EE	Michael S. Lewicki, Terrence J. Sejnowski: Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. NIPS 1998: 730-736
	1997
5		Michael S. Lewicki, Bruno A. Olshausen: Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. NIPS 1997
4		Michael S. Lewicki, Terrence J. Sejnowski: Learning Nonlinear Overcomplete Representations for Efficient Coding. NIPS 1997
	1996
3	EE	Michael S. Lewicki, Terrence J. Sejnowski: Bayesian Unsupervised Learning of Higher Order Structure. NIPS 1996: 529-535
	1994
2	EE	Michael S. Lewicki: Bayesian Modeling and Classification of Neural Signals. Neural Computation 6(5): 1005-1030 (1994)
	1993
1	EE	Michael S. Lewicki: Bayesian Modeling and Classification of Neural Signals. NIPS 1993: 590-597

Coauthor Index

1	Doru-Cristian Balcan	[18] [20]
2	Eizaburo Doi	[13] [18] [19] [20]
3	Yan Karklin	[12] [15] [17]
4	Te-Won Lee	[7] [9] [11]
5	Bruno A. Olshausen	[5] [10]
6	Phil Sallee	[10]
7	Terrence J. Sejnowski	[3] [4] [6] [7] [8] [9]
8	Evan Smith	[16]
9	Evan C. Smith	[14]

Colors in the list of coauthors