Urs Köster
Urs Köster
Cerebras
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Title
Cited by
Cited by
Year
Flexpoint: An adaptive numerical format for efficient training of deep neural networks
U Köster, TJ Webb, X Wang, M Nassar, AK Bansal, WH Constable, ...
arXiv preprint arXiv:1711.02213, 2017
1522017
FastISA: A fast fixed-point algorithm for independent subspace analysis.
A Hyvärinen, U Köster
EsANN, 371-376, 2006
732006
Complex cell pooling and the statistics of natural images
A Hyvärinen, U Köster
Network: Computation in Neural Systems 18 (2), 81-100, 2007
682007
Modeling higher-order correlations within cortical microcolumns
U Köster, J Sohl-Dickstein, CM Gray, BA Olshausen
PLoS Comput Biol 10 (7), e1003684, 2014
562014
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 27: 28th Conference on …, 2015
502015
A two-layer ICA-like model estimated by score matching
U Köster, A Hyvärinen
International Conference on Artificial Neural Networks, 798-807, 2007
432007
A two-layer model of natural stimuli estimated with score matching
U Köster, A Hyvärinen
Neural Computation 22 (9), 2308-2333, 2010
342010
Estimating markov random field potentials for natural images
U Köster, JT Lindgren, A Hyvärinen
International Conference on Independent Component Analysis and Signal …, 2009
242009
Online normalization for training neural networks
V Chiley, I Sharapov, A Kosson, U Koster, R Reece, SS de la Fuente, ...
arXiv preprint arXiv:1905.05894, 2019
122019
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
Pipelined Backpropagation at Scale: Training Large Models without Batches
A Kosson, V Chiley, A Venigalla, J Hestness, U Köster
arXiv preprint arXiv:2003.11666, 2020
12020
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
Adaptive Braking for Mitigating Gradient Delay
A Venigalla, A Kosson, V Chiley, U Köster
arXiv preprint arXiv:2007.01397, 2020
2020
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
Reversible Fixup Networks for Memory-Efficient Training
V Thangarasa, CY Tsai, GW Taylor, U Köster
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