Stephen L. Keeley

According to our database, Stephen L. Keeley authored at least 5 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data.

Rabia Gondur, Usama Bin Sikandar, Evan Schaffer, Mikio Christian Aoi, Stephen L. Keeley

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2020

Identifying signal and noise structure in neural population activity with Gaussian process factor models.

Stephen L. Keeley, Mikio C. Aoi, Yiyi Yu, Spencer L. Smith, Jonathan W. Pillow

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

Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations.

Stephen L. Keeley, David M. Zoltowski, Yiyi Yu, Spencer L. Smith, Jonathan W. Pillow

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

2019

Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations.

Stephen L. Keeley, David M. Zoltowski, Yiyi Yu, Jacob L. Yates, Spencer L. Smith, Jonathan W. Pillow

CoRR, 2019

2017

Gaussian process based nonlinear latent structure discovery in multivariate spike train data.

Anqi Wu, Nicholas A. Roy, Stephen L. Keeley, Jonathan W. Pillow

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017