Urs Köster

According to our database, Urs Köster authored at least 13 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Spatiotemporal Prediction with Bayesian Neural Fields.

Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton, Urs Köster, Rif A. Saurous, Matthew Hoffman

CoRR, 2024

2021

Pipelined Backpropagation at Scale: Training Large Models without Batches.

Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster

Proceedings of Machine Learning and Systems 2021, 2021

2020

Adaptive Braking for Mitigating Gradient Delay.

Abhinav Venigalla, Atli Kosson, Vitaliy Chiley, Urs Köster

CoRR, 2020

2019

Online Normalization for Training Neural Networks.

Vitaliy Chiley, Ilya Sharapov, Atli Kosson, Urs Köster, Ryan Reece, Sofia Samaniego de la Fuente, Vishal Subbiah, Michael James

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks.

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2014

Modeling Higher-Order Correlations within Cortical Microcolumns.

Urs Köster, Jascha Sohl-Dickstein, Charles M. Gray, Bruno A. Olshausen

PLoS Comput. Biol., 2014

Low-dimensional models of neural population activity in sensory cortical circuits.

Evan W. Archer, Urs Köster, Jonathan W. Pillow, Jakob H. Macke

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Modeling neural population data.

Urs Köster, Bruno A. Olshausen, Charles M. Gray

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2010

A Two-Layer Model of Natural Stimuli Estimated with Score Matching.

Urs Köster, Aapo Hyvärinen

Neural Comput., 2010

2009

Estimating Markov Random Field Potentials for Natural Images.

Urs Köster, Jussi T. Lindgren, Aapo Hyvärinen

Proceedings of the Independent Component Analysis and Signal Separation, 2009

Learning Natural Image Structure with a Horizontal Product Model.

Urs Köster, Jussi T. Lindgren, Michael Gutmann, Aapo Hyvärinen

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2007

A Two-Layer ICA-Like Model Estimated by Score Matching.

Urs Köster, Aapo Hyvärinen

Proceedings of the Artificial Neural Networks, 2007

2006

FastISA: A fast fixed-point algorithm for independent subspace analysis.

Aapo Hyvärinen, Urs Köster

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006