48 citations · 62 across the 2 of their papers we have counts for
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stat.ML2020★ 48 cited
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
Ding Zhou, Xue-Xin Wei
The ability to record activities from hundreds of neurons simultaneously in the brain has placed an increasing demand for developing appropriate statistical techniques to analyze s…
stat.ML2020
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model
Ding Zhou, Yuanjun Gao, Liam Paninski
The Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) has been used widely as a natural Bayesian nonparametric extension of the classical Hidden Markov Model for learnin…