Tag: variational-autoencoder

7 How should we choose the dimensions of the encoding layer in auto-encoders? 2018-12-27T17:26:27.467

5 Concrete example of latent variables and observables plugged into the Bayes' rule 2019-11-21T10:16:42.907

4 Does MMD-VAE solve the problem of blurred images of vanilla VAEs? 2019-11-19T14:57:33.023

4 Why can't VAE do sequence to sequence name generation? 2020-02-09T17:42:04.570

3 What's going on in the equation of the variational lower bound? 2019-10-21T05:32:57.103

3 In variational auto-encoders, what should the dimension of the mean and variance of the latent distribution and the latent vector be? 2019-12-04T15:00:31.360

3 Why does variational auto-encoder use the reconstruction loss? 2020-03-26T05:22:29.500

2 Why doesn't VAE suffer mode collapse? 2018-11-09T14:17:08.837

2 Kullback-Leibler Divergence? How does it give knowledge gained? 2019-10-22T04:32:46.623

2 Are there any general tips for troubleshooting a VAE when apparently it is not learning? 2019-11-15T03:08:08.313

2 What makes GAN or VAE better at image generation than NN that directly maps inputs to images 2019-12-11T17:19:21.927

2 VAE latent space collapse 2019-12-12T01:54:03.460

2 What is the input for the prior model of VQ-VAE? 2019-12-22T06:08:37.673

2 What is the mean in the variational auto-encoder? 2020-02-04T09:17:01.797

2 Why is the evidence equal to the KL divergence plus the loss? 2020-02-07T07:49:52.957

2 Why does KL divergence not satisfy the triangle inequality? 2020-02-14T08:23:15.227

2 Does bottleneck size matter in Disentangled Variational Autoencoders? 2020-04-28T13:43:49.627

2 What does the notation $\mathcal{N}(z; \mu, \sigma)$ stand for in statistics? 2020-08-23T17:49:31.347

1 Reduce same sample distance in VAE encodings 2019-11-18T12:18:24.743

1 Why is my variational auto-encoder generating random noise? 2019-12-26T15:16:16.967

1 What's the difference between semi-supervised VAEs and conditional VAEs? 2020-01-10T21:31:50.477

1 Is Gradient Descent algorithm a part of Calculus of Variations? 2020-02-04T08:00:06.863

1 Why is exp used in encoder of VAE instead of using the value of standard deviation alone? 2020-02-06T06:53:36.177

1 In $logp_{\theta}(x^1,...,x^N)=D_{KL}(q_{\theta}(z|x^i)||p_{\phi}(z|x^i))+\mathbb{L}(\phi,\theta;x^i)$ why is $\theta$ and param for $p$ and $q$? 2020-02-07T21:32:09.327

1 Why do we regularize the variational autoencoder with a normal distribution? 2020-03-03T15:38:43.003

1 Can a variational auto-encoder learn images composed of random noise at each pixel (each drawn from the same distribution)? 2020-04-08T21:57:54.937

1 What is the main contribution of the paper Disentangling by Factorising? 2020-05-31T23:01:53.473

0 Conditional Variational Autoencoder - NON Image Data 2020-06-03T08:57:50.683

0 VAE KL divergence loss decreases really fast 2020-06-28T01:03:34.500