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Here we can add the papers we find
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Update the following URL to point to the GitHub repository of
the package you wish to submit to _Bioconductor_
- Repository: https://github.com/vjcitn/scviR
Confirm the following by editing eac…
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Song Y, Ermon S. [Generative modeling by estimating gradients of the data distribution](https://arxiv.org/pdf/1907.05600.pdf).
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Hi,
It would be nice to have some go to examples for training normalizing flows, perhaps reproducing results on toy datasets (e.g. the ones implemented [here](https://github.com/rtqichen/ffjord/bl…
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Hello, nice work!
I have a few questions about how to calculate the KL divergence.
> kl_1_2 = p_z1_given_v1.log_prob(z1) - p_z2_given_v2.log_prob(z1)
> kl_2_1 = p_z2_given_v2.log_prob(z2) - p_z1_gi…
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# Variational Autoencoders for Collaborative Filtering
- 연결논문
- [Stochastic Backpropagation and Approximate Inference in Deep Generative Models](https://arxiv.org/pdf/1401.4082.pdf)
### 용어 정리
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There is a typo in chapter 20 variational autoencoders, latex page 749, equation (20.71), the in KL term, $p_{\theta}(x)$ should be $p_{\theta}(z)$.
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Prompted by [this](https://arxiv.org/pdf/1902.05528.pdf) paper, this issue covers the use of a variational autoencoder (VAE) to dimension-reduce a hyperspectral source image. This is initially intend…
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I notice that you use sent attributes of CUB dataset, but we usually use att attributes on CUB, like CLSWGAN/TF-VAEGAN and so on. Could you please provide your result when using att attributes for fa…
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# 【PaddlePaddle Hackathon 4】模型套件开源贡献任务合集
（此 ISSUE 为 PaddlePaddle Hackathon 第四期活动的任务 ISSUE，更多详见 [【PaddlePaddle Hackathon 第四期】任务总览](https://github.com/PaddlePaddle/Paddle/issues/50629)）
注：开发请参考 [贡…