Urs Köster
Urs Köster
Cerebras
Verified email at cerebras.net - Homepage
Title
Cited by
Cited by
Year
Flexpoint: An adaptive numerical format for efficient training of deep neural networks
U Köster, T Webb, X Wang, M Nassar, AK Bansal, W Constable, O Elibol, ...
Advances in neural information processing systems, 1742-1752, 2017
1252017
FastISA: A fast fixed-point algorithm for independent subspace analysis.
A Hyvärinen, U Köster
EsANN, 371-376, 2006
722006
Complex cell pooling and the statistics of natural images
A Hyvärinen, U Köster
Network: Computation in Neural Systems 18 (2), 81-100, 2007
582007
Modeling higher-order correlations within cortical microcolumns
U Köster, J Sohl-Dickstein, CM Gray, BA Olshausen
PLoS Comput Biol 10 (7), e1003684, 2014
532014
A two-layer ICA-like model estimated by score matching
U Köster, A Hyvärinen
International Conference on Artificial Neural Networks, 798-807, 2007
402007
Low-dimensional models of neural population activity in sensory cortical circuits
EW Archer, U Koster, JW Pillow, JH Macke
Advances in neural information processing systems, 343-351, 2014
382014
A two-layer model of natural stimuli estimated with score matching
U Köster, A Hyvärinen
Neural Computation 22 (9), 2308-2333, 2010
312010
Estimating markov random field potentials for natural images
U Köster, JT Lindgren, A Hyvärinen
International Conference on Independent Component Analysis and Signal …, 2009
242009
Learning natural image structure with a horizontal product model
U Köster, JT Lindgren, M Gutmann, A Hyvärinen
International Conference on Independent Component Analysis and Signal …, 2009
112009
Higher order correlations within cortical layers dominate functional connectivity in microcolumns
U Köster, J Sohl-Dickstein, CM Gray, BA Olshausen
arXiv preprint arXiv:1301.0050, 2013
102013
Testing our conceptual understanding of V1 function
U Köster, B Olshausen
arXiv preprint arXiv:1311.0778, 2013
72013
Natural image statistics: Energy-based models estimated by score matching
U Koster, A Hyvarinen
2009 International Workshop on Local and Non-Local Approximation in Image …, 2009
12009
Modeling neural population data
U Köster, B Olshausen, C Gray
2013 Asilomar Conference on Signals, Systems and Computers, 358-361, 2013
2013
Sparse coding model captures V1 population response statistics to natural movies
M Zhu, I Stevenson, U Köster, CM Gray, BA Olshausen, CJ Rozell
BMC Neuroscience 14 (1), 1-1, 2013
2013
A probabilistic approach to the primary visual cortex
U Köster
Helsingin yliopisto, 2009
2009
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Articles 1–15