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Questions tagged [latent-variable]

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What are some new deep learning models for learning latent representation of data?

I know that autoencoders are one type of deep neural networks that can learn the latent representation of data. I guess there should be several other models like autoencoders. What are some new deep ...
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2answers
58 views

What's going on in the equation of the variational lower bound?

I don't really understand what this equation is saying or what the purpose of the ELBO is? How does it help us find the true posterior distribution?
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Can Artificial Neural Networks learn traditional Latent Class models?

A colleague is a statistician who is an expert in building multi-dimensional Latent Class models. I would like to know if it is possible to use artificial neural networks with several hidden layers to ...
3
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2answers
99 views

Do we also need to model a probability distribution for the decoder of a VAE?

I'm working on understanding VAEs, mostly through video lectures of Stanford cs231n, in particular lecture 13 tackles on this topic and I think I have a good theoretical grasp. However, when looking ...
1
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0answers
92 views

How can VAE have near perfect reconstruction but still output junk when using random noise input

I am creating a VAE for time series data using CNNs. The data has 4800 timesteps and 4 features. It is standardized and normalized. The network I am using is implemented in Keras as follows. I have ...
2
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0answers
49 views

What kind of distributions can be used to model discrete latent variables?

If we take the vanilla variational auto-encoder (VAE), we $p(z)$ is a Gaussian distribution with zero mean and unit variance and we approximate $p(z|x) \approx q(z|x)$ to be a Gaussian distribution as ...