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All publications by Byron M. Yu
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Extracting Latent Structure From Multiple Interacting Neural Populations
Joao Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens and Byron M. Yu
Advances in Neural Information Processing Systems 27, 2014


Deterministic Symmetric Positive Semidefinite Matrix Completion
William E. Bishop and Byron M. Yu
Advances in Neural Information Processing Systems 27, 2014


Learning an Internal Dynamics Model from Control Demonstration
Matthew Golub, Steven Chase and Byron M. Yu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy and Maneesh Sahani
Advances in Neural Information Processing Systems 24, 2011


Dynamical segmentation of single trials from population neural data
Biljana Petreska, Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy and Maneesh Sahani
Advances in Neural Information Processing Systems 24, 2011


Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy and Maneesh Sahani
Advances in Neural Information Processing Systems 21, 2008


Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes
John P. Cunningham, Byron M. Yu and Krishna V. Shenoy
Advances in Neural Information Processing Systems 20, 2007


Extracting Dynamical Structure Embedded in Neural Activity
Byron M. Yu, Afsheen Afshar, Gopal Santhanam, Stephen I. Ryu and Krishna V. Shenoy
Advances in Neural Information Processing Systems 18, 2005