Urs Köster
Urs Köster
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Cited by
Cited by
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 30, 2017
Complex cell pooling and the statistics of natural images
A Hyvärinen, U Köster
Network: Computation in Neural Systems 18 (2), 81-100, 2007
Modeling higher-order correlations within cortical microcolumns
U Köster, J Sohl-Dickstein, CM Gray, BA Olshausen
PLoS computational biology 10 (7), e1003684, 2014
FastISA: A fast fixed-point algorithm for independent subspace analysis.
A Hyvärinen, U Köster
EsANN, 371-376, 2006
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, 2014
Online normalization for training neural networks
V Chiley, I Sharapov, A Kosson, U Koster, R Reece, ...
Advances in Neural Information Processing Systems 32, 2019
A two-layer ICA-like model estimated by score matching
U Köster, A Hyvärinen
Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007
A two-layer model of natural stimuli estimated with score matching
U Köster, A Hyvärinen
Neural Computation 22 (9), 2308-2333, 2010
Pipelined backpropagation at scale: training large models without batches
A Kosson, V Chiley, A Venigalla, J Hestness, U Koster
Proceedings of Machine Learning and Systems 3, 479-501, 2021
Estimating markov random field potentials for natural images
U Köster, JT Lindgren, A Hyvärinen
International Conference on Independent Component Analysis and Signal …, 2009
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
Learning natural image structure with a horizontal product model
U Köster, JT Lindgren, M Gutmann, A Hyvärinen
Independent Component Analysis and Signal Separation: 8th International …, 2009
Testing our conceptual understanding of V1 function
U Köster, B Olshausen
arXiv preprint arXiv:1311.0778, 2013
Adaptive braking for mitigating gradient delay
A Venigalla, A Kosson, V Chiley, U Köster
arXiv preprint arXiv:2007.01397, 2020
Reversible fixup networks for memory-efficient training
V Thangarasa, CY Tsai, GW Taylor, U Köster
NeurIPS Systems for ML (SysML) Workshop, 2019
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
Modeling neural population data
U Köster, B Olshausen, C Gray
2013 Asilomar Conference on Signals, Systems and Computers, 358-361, 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, 2013
A probabilistic approach to the primary visual cortex
U Köster
Helsingin yliopisto, 2009
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