Spencer L. Smith

According to our database, Spencer L. Smith authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data.

Antonis Antoniades, Yiyi Yu, Joseph Canzano, William Wang, Spencer LaVere Smith

CoRR, 2023

2021

Dynamic Graph Learning Based on Graph Laplacian.

Bo Jiang, Yiyi Yu, Hamid Krim, Spencer L. Smith

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of the 37th International Conference on Machine Learning, 2020

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, Jacob L. Yates, Spencer L. Smith, Jonathan W. Pillow

CoRR, 2019