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qshe committed Jul 2, 2019
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## 1. Model overview
### Model
Our model composes RNN (e.g.LSTM) with hidden states (**h**) encoded in the prior distribution of latent states (**z**), and then maps to the noisy-free space of observations (**x**).
Our model composes RNN (e.g.LSTM) with hidden states (**v**) encoded in the prior distribution of latent states (**z**), and then maps to the noisy-free space of observations (**x**).
<div align="center">
<img src="https://raw.githubusercontent.com/sheqi/GP-RNN_UAI2019/master/figs/scheme.png" width = "350" height = "180" alt="Image of GP-RNN" align=center />
</div>
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