Urs Köster

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 8

Top Topics

Error Back Propagation

Backpropagation Algorithm

Feed Forward Neural Networks

Top Venues

PLoS Comput. Biol.

Publications

Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton, Urs Köster, Rif A. Saurous, Matthew Hoffman
Scalable Spatiotemporal Prediction with Bayesian Neural Fields. CoRR (2024)
Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster
Pipelined Backpropagation at Scale: Training Large Models without Batches. MLSys (2021)
Atli Kosson, Vitaliy Chiley, Abhinav Venigalla, Joel Hestness, Urs Köster
Pipelined Backpropagation at Scale: Training Large Models without Batches. CoRR (2020)
Abhinav Venigalla, Atli Kosson, Vitaliy Chiley, Urs Köster
Adaptive Braking for Mitigating Gradient Delay. CoRR (2020)
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)
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 (2019)
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 (2017)
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)
Urs Köster, Jascha Sohl-Dickstein, Charles M. Gray, Bruno A. Olshausen
Modeling Higher-Order Correlations within Cortical Microcolumns. PLoS Comput. Biol. 10 (7) (2014)
Evan W. Archer, Urs Köster, Jonathan W. Pillow, Jakob H. Macke
Low-dimensional models of neural population activity in sensory cortical circuits. NIPS (2014)
Urs Köster, Bruno A. Olshausen, Charles M. Gray
Modeling neural population data. ACSSC (2013)
Urs Köster, Aapo Hyvärinen
A Two-Layer Model of Natural Stimuli Estimated with Score Matching. Neural Comput. 22 (9) (2010)
Urs Köster, Jussi T. Lindgren, Aapo Hyvärinen
Estimating Markov Random Field Potentials for Natural Images. ICA (2009)
Urs Köster, Jussi T. Lindgren, Michael Gutmann, Aapo Hyvärinen
Learning Natural Image Structure with a Horizontal Product Model. ICA (2009)
Urs Köster, Aapo Hyvärinen
A Two-Layer ICA-Like Model Estimated by Score Matching. ICANN (2) (2007)
Aapo Hyvärinen, Urs Köster
FastISA: A fast fixed-point algorithm for independent subspace analysis. ESANN (2006)