FastISA: A fast fixed-point algorithm for independent subspace analysis. - Aapo Hyvärinen; Urs Köster (ESANN, 2006)

A Two-Layer ICA-Like Model Estimated by Score Matching. - Urs Köster; Aapo Hyvärinen (ICANN (2), 2007)

Learning Natural Image Structure with a Horizontal Product Model. - Urs Köster; Jussi T. Lindgren; Michael Gutmann; Aapo Hyvärinen (ICA, 2009)

Estimating Markov Random Field Potentials for Natural Images. - Urs Köster; Jussi T. Lindgren; Aapo Hyvärinen (ICA, 2009)

A Two-Layer Model of Natural Stimuli Estimated with Score Matching. - Urs Köster; Aapo Hyvärinen (Neural Comput., 2010)

Modeling neural population data. - Urs Köster; Bruno A. Olshausen; Charles M. Gray (ACSSC, 2013)

Low-dimensional models of neural population activity in sensory cortical circuits. - Evan W. Archer; Urs Köster; Jonathan W. Pillow; Jakob H. Macke (NIPS, 2014)

Modeling Higher-Order Correlations within Cortical Microcolumns. - Urs Köster; Jascha Sohl-Dickstein; Charles M. Gray; Bruno A. Olshausen (PLoS Comput. Biol., 2014)

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; et al. (NIPS, 2017)

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 002 (NeurIPS, 2019)

Adaptive Braking for Mitigating Gradient Delay. - Abhinav Venigalla; Atli Kosson; Vitaliy Chiley; Urs Köster (CoRR, 2020)

Pipelined Backpropagation at Scale: Training Large Models without Batches. - Atli Kosson; Vitaliy Chiley; Abhinav Venigalla; Joel Hestness; Urs Köster (MLSys, 2021)

Scalable Spatiotemporal Prediction with Bayesian Neural Fields. - Feras Saad; Jacob Burnim; Colin Carroll; Brian Patton; Urs Köster; Rif A. Saurous; Matthew Hoffman 001 (CoRR, 2024)