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Urs Köster
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2020 – today
- 2024
- [i5]Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton, Urs Köster, Rif A. Saurous, Matthew Hoffman:
Scalable Spatiotemporal Prediction with Bayesian Neural Fields. CoRR abs/2403.07657 (2024) - 2021
- [c9]Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster:
Pipelined Backpropagation at Scale: Training Large Models without Batches. MLSys 2021 - 2020
- [i4]Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster:
Pipelined Backpropagation at Scale: Training Large Models without Batches. CoRR abs/2003.11666 (2020) - [i3]Abhinav Venigalla, Atli Kosson, Vitaliy Chiley, Urs Köster:
Adaptive Braking for Mitigating Gradient Delay. CoRR abs/2007.01397 (2020)
2010 – 2019
- 2019
- [c8]Vitaliy Chiley, Ilya Sharapov, Atli Kosson, Urs Köster, Ryan Reece, Sofia Samaniego de la Fuente, Vishal Subbiah, Michael James:
Online Normalization for Training Neural Networks. NeurIPS 2019: 8431-8441 - [i2]Vitaliy Chiley, Ilya Sharapov, Atli Kosson, Urs Köster, Ryan Reece, Sofia Samaniego de la Fuente, Vishal Subbiah, Michael James:
Online Normalization for Training Neural Networks. CoRR abs/1905.05894 (2019) - 2017
- [c7]Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao:
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. NIPS 2017: 1742-1752 - [i1]Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao:
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. CoRR abs/1711.02213 (2017) - 2014
- [j2]Urs Köster, Jascha Sohl-Dickstein, Charles M. Gray, Bruno A. Olshausen:
Modeling Higher-Order Correlations within Cortical Microcolumns. PLoS Comput. Biol. 10(7) (2014) - [c6]Evan W. Archer, Urs Köster, Jonathan W. Pillow, Jakob H. Macke:
Low-dimensional models of neural population activity in sensory cortical circuits. NIPS 2014: 343-351 - 2013
- [c5]Urs Köster, Bruno A. Olshausen, Charles M. Gray:
Modeling neural population data. ACSSC 2013: 358-361 - 2010
- [j1]Urs Köster, Aapo Hyvärinen
:
A Two-Layer Model of Natural Stimuli Estimated with Score Matching. Neural Comput. 22(9): 2308-2333 (2010)
2000 – 2009
- 2009
- [c4]Urs Köster, Jussi T. Lindgren, Michael Gutmann, Aapo Hyvärinen
Learning Natural Image Structure with a Horizontal Product Model. ICA 2009: 507-514 - [c3]Urs Köster, Jussi T. Lindgren, Aapo Hyvärinen:
Estimating Markov Random Field Potentials for Natural Images. ICA 2009: 515-522 - 2007
- [c2]Urs Köster, Aapo Hyvärinen:
A Two-Layer ICA-Like Model Estimated by Score Matching. ICANN (2) 2007: 798-807 - 2006
- [c1]Aapo Hyvärinen, Urs Köster:
FastISA: A fast fixed-point algorithm for independent subspace analysis. ESANN 2006: 371-376
Coauthor Index
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