Stephen L. Keeley

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 6

Top Topics

Gaussian Process

Top Venues

Publications

Rabia Gondur, Usama Bin Sikandar, Evan Schaffer, Mikio Christian Aoi, Stephen L. Keeley
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data. ICLR (2024)
Rabia Gondur, Usama Bin Sikandar, Evan Schaffer, Mikio Christian Aoi, Stephen L. Keeley
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data. CoRR (2023)
Stephen L. Keeley, David L. Zoltowski, Yiyi Yu, Spencer L. Smith, Jonathan W. Pillow
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations. ICML (2020)
Stephen L. Keeley, Mikio Aoi, Yiyi Yu, Spencer L. Smith, Jonathan W. Pillow
Identifying signal and noise structure in neural population activity with Gaussian process factor models. NeurIPS (2020)
Stephen L. Keeley, David M. Zoltowski, Yiyi Yu, Jacob L. Yates, Spencer L. Smith, Jonathan W. Pillow
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations. CoRR (2019)
Anqi Wu, Nicholas A. Roy, Stephen L. Keeley, Jonathan W. Pillow
Gaussian process based nonlinear latent structure discovery in multivariate spike train data. NIPS (2017)