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All publications by John P. Cunningham
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Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis Barbour and John P. Cunningham
Advances in Neural Information Processing Systems 28, 2015


High-dimensional neural spike train analysis with generalized count linear dynamical systems
Yuanjun Gao, Lars Busing, Krishna V. Shenoy and John P. Cunningham
Advances in Neural Information Processing Systems 28, 2015


Fast Kernel Learning for Multidimensional Pattern Extrapolation
Andrew Wilson, Elad Gilboa, John P. Cunningham and Arye Nehorai
Advances in Neural Information Processing Systems 27, 2014


Clustered factor analysis of multineuronal spike data
Lars Buesing, Timothy A. Machado, John P. Cunningham and Liam Paninski
Advances in Neural Information Processing Systems 27, 2014


Scaling Multidimensional Gaussian Processes using Projected Additive Approximations
Elad Gilboa, Yunus Saatçci and John P. Cunningham
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


Workshop summary: Numerical mathematics in machine learning
Matthias Seeger, Suvrit Sra and John P. Cunningham
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Fast Gaussian process methods for point process intensity estimation
John P. Cunningham, Krishna V. Shenoy and Maneesh Sahani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


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