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2020 – today
- 2024
[c4]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- 2023
- [i2]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 abs/2310.03111 (2023) - 2020
- [c3]Stephen L. Keeley, David M. 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: 5177-5186 - [c2]Stephen L. Keeley, Mikio C. 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
2010 – 2019
- 2019
- [i1]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 abs/1906.03318 (2019) - 2017
- [c1]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: 3496-3505
Coauthor Index
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