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)

Deep Adversarial Belief Networks. - Yuming Huang; Ashkan Panahi; Hamid Krim; Yiyi Yu; Spencer L. Smith (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)

Dynamic Graph Learning Based on Graph Laplacian. - Bo Jiang; Yiyi Yu; Hamid Krim; Spencer L. Smith (ICASSP, 2021)

Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data. - Antonis Antoniades; Yiyi Yu; Joseph Canzano; William Yang Wang; Spencer L. Smith (ICLR, 2024)