Spencer L. Smith

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Gaussian Process

Dynamical Models

Top Venues

Publications

Antonis Antoniades, Yiyi Yu, Joseph Canzano, William Yang Wang, Spencer L. Smith
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data. ICLR (2024)
Bo Jiang, Yiyi Yu, Hamid Krim, Spencer L. Smith
Dynamic Graph Learning Based on Graph Laplacian. ICASSP (2021)
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)
Yuming Huang, Ashkan Panahi, Hamid Krim, Yiyi Yu, Spencer L. Smith
Deep Adversarial Belief Networks. CoRR (2019)