Yuan Zhao

CoRR, 2024

2023

Streaming Variational Monte Carlo.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Real-time variational method for learning neural trajectory and its dynamics.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2020

Stimulus-choice (mis)alignment in primate area MT.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2020

Variational Online Learning of Neural Dynamics.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2020

Non-parametric generalized linear model.

[BibT_eX]

[DOI]

CoRR, 2020

Rescuing neural spike train models from bad MLE.

[BibT_eX]

[DOI]

Diego M. Arribas

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

2018

Learning Structured Neural Dynamics From Single Trial Population Recording.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains.

[BibT_eX]

[DOI]

Neural Comput., 2017

2016

Interpretable Nonlinear Dynamic Modeling of Neural Trajectories.

[BibT_eX]

[DOI]