Michael S. Lewicki

2007
19	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
18	EE	Eizaburo Doi, Michael S. Lewicki: A Theory of Retinal Population Coding. NIPS 2006: 353-360
2005
17	EE	Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki: A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels. NIPS 2005
16	EE	Yan Karklin, Michael S. Lewicki: Is Early Vision Optimized for Extracting Higher-order Dependencies? NIPS 2005
15	EE	Evan Smith, Michael S. Lewicki: Efficient Coding of Time-Relative Structure Using Spikes. Neural Computation 17(1): 19-45 (2005)
14	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
13	EE	Evan C. Smith, Michael S. Lewicki: Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters. NIPS 2004
12	EE	Eizaburo Doi, Michael S. Lewicki: Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units. NIPS 2004
2002
11	EE	Yan Karklin, Michael S. Lewicki: A Model for Learning Variance Components of Natural Images. NIPS 2002: 1367-1374
10	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
9		Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki: Learning Sparse Image Codes using a Wavelet Pyramid Architecture. NIPS 2000: 887-893
8	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)
7		Michael S. Lewicki, Terrence J. Sejnowski: Learning Overcomplete Representations. Neural Computation 12(2): 337-365 (2000)
1998
6	EE	Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski: Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS 1998: 508-514
5	EE	Michael S. Lewicki, Terrence J. Sejnowski: Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. NIPS 1998: 730-736
1997
4		Michael S. Lewicki, Bruno A. Olshausen: Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. NIPS 1997
3		Michael S. Lewicki, Terrence J. Sejnowski: Learning Nonlinear Overcomplete Representations for Efficient Coding. NIPS 1997
1996
2	EE	Michael S. Lewicki, Terrence J. Sejnowski: Bayesian Unsupervised Learning of Higher Order Structure. NIPS 1996: 529-535
1993
1	EE	Michael S. Lewicki: Bayesian Modeling and Classification of Neural Signals. NIPS 1993: 590-597

Coauthor Index

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

Colors in the list of coauthors