Gaussian process based nonlinear latent structure discovery in multivariate spike train data. - Anqi Wu; Nicholas A. Roy; Stephen L. Keeley; Jonathan W. Pillow (NIPS, 2017)

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)

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 (ICML, 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 (NeurIPS, 2020)

Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data. - Rabia Gondur; Usama Bin Sikandar; Evan Schaffer; Mikio Christian Aoi; Stephen L. Keeley (ICLR, 2024)