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## 🐛 Bug
The VAE model contained here takes an optional `kl_coeff` parameter that's supposed to be a scaling factor for the KL term of the variational loss. This might be useful to avoid the ["poster…
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GANs and Variational Autoencoders are pretty popular, but probably not the only technologies to exist. We may see different benefits from other models. Compile research on potential avenues.
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hello, thanks for sharing this code. I am confused about a question. I find MNIST data are continuous(pixel value not just 0 and 1), so why can we use Bernoulli distribution in decoder?
egrcc updated
3 years ago
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I guess your work is an implementation of this paper:
[Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders](https://papers.nips.cc/paper/7942-constrained-gen…
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## ❓ Questions & Help
Hello, I am trying to use the variational auto encoder [here](https://github.com/rusty1s/pytorch_geometric/blob/702e0ca2aac1b4dd3c811e5b1710f92ed05e7de0/torch_geometric/nn/mod…
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In the README:
```
minimap2 -T almeida.fna -t 28 -N 50 -ax sr almeida.mmi sample1.forward.fastq.gz sample1.reverse.fastq.gz | samtools view -F 3584 -b --threads 8 > sample1.bam
```
...but in t…
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Making a note to explore a high level wrapper for variational autoencoders to generate images / other content.
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I’ve been reading through the deep review paper and noticed that there is not a Methylation section in this paper. There are a number of issues that have been brought up regarding the inclusion of met…
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Hi, have just read your paper, and I have some ideas want to share with.
In Eq. 5 from the paper, the ML estimation of variance equals to `MSE` loss. If we insert this into the objective function E…
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Hi, thank you for your code. I'm interested in the MMD loss. Can you give me some advice about the weight of MMD_loss if I want to add it to my own sem_seg network?
https://github.com/paul007pl/Point…