# John P. Cunningham

Affiliations:- Columbia University, Department of Statistics, New York, NY, USA
- Washington University in St. Louis, Department of Electrical & Systems Engineering, MO, USA
- University of Cambridge, Department of Engineering, UK
- Stanford University, Department of Electrical Engineering, CA, USA (PhD 2009)

According to our database

Collaborative distances:

^{1}, John P. Cunningham authored at least 82 papers between 2006 and 2023.Collaborative distances:

## Timeline

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## Bibliography

2023

CoRR, 2023

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

CoRR, 2022

CoRR, 2022

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome.

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Proceedings of the International Conference on Machine Learning, 2022

Proceedings of the International Conference on Machine Learning, 2022

Proceedings of the International Conference on Machine Learning, 2022

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

2021

Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders.

PLoS Comput. Biol., 2021

Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging.

Nat. Mach. Intell., 2021

J. Mach. Learn. Res., 2021

Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning.

CoRR, 2021

Simulating time to event prediction with spatiotemporal echocardiography deep learning.

CoRR, 2021

CoRR, 2021

CoRR, 2021

Predicting post-operative right ventricular failure using video-based deep learning.

CoRR, 2021

Bioinform., 2021

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective.

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Proceedings of the 38th International Conference on Machine Learning, 2021

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data.

J. Mach. Learn. Res., 2020

CoRR, 2020

Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking.

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations.

Proceedings of the 37th International Conference on Machine Learning, 2020

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

2019

Approximating exponential family models (not single distributions) with a two-network architecture.

CoRR, 2019

Deep Random Splines for Point Process Intensity Estimation of Neural Population Data.

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

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

Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography.

Proceedings of the 36th International Conference on Machine Learning, 2019

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

CoRR, 2018

CoRR, 2018

Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity.

CoRR, 2018

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays.

PLoS Comput. Biol., 2017

Mach. Learn., 2017

Proceedings of the 5th International Conference on Learning Representations, 2017

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1.

PLoS Comput. Biol., 2016

PLoS Comput. Biol., 2016

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Proceedings of the 33nd International Conference on Machine Learning, 2016

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

PLoS Comput. Biol., 2015

IEEE Trans. Pattern Anal. Mach. Intell., 2015

J. Mach. Learn. Res., 2015

CoRR, 2015

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

High-dimensional neural spike train analysis with generalized count linear dynamical systems.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

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

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

CoRR, 2013

Scaling Multidimensional Gaussian Processes using Projected Additive Approximations.

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

J. Comput. Neurosci., 2012

A brain machine interface control algorithm designed from a feedback control perspective.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009

Methods for estimating neural firing rates, and their application to brain-machine interfaces.

Neural Networks, 2009

NeuroImage, 2009

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Proceedings of the Machine Learning, 2008

2007

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006