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Results tagged with variational-autoencoder
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For questions related to variational auto-encoders (VAEs). The first VAE was proposed in "Auto-Encoding Variational Bayes" (2013) by Diederik P. Kingma and Max Welling. There are several other VAEs, for example, the conditional VAE.
0
votes
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Is there a way to reward my Variational-Auto encoder for using less colors while still letti...
You can encode this in a loss, not in a differentiable one though.
What you want is something like:
$$
L(\theta) = L^{VAE}(\theta) - \lambda \sum_i|set(f_\theta(x_i))|
$$
So you penalize your model if …
- 2,632
2
votes
Accepted
Why can Variational Autoencoders (VAEs) approximate arbitrary distributions?
The fact that you can approximate any distribution is given by the definition ELBO, which is a lower bound in order to learn $p(x)$
Theoretically speaking, if you are able to make that difference betw …
- 2,632
2
votes
In the VAE, why is $z \sim \mathcal{N}(\mu, \sigma^2)$ equivalent to $z = \mu + \sigma \odot...
I'll give 2 cents.
The point is that Normal distribution can be shifted and rescaled:
if $X$ is a normal gaussian distribution with parameters
$\mu$ and $\sigma^2$, then this $X$ distribution can be …
- 2,632