bayesian - What are variational autoencoders and to what learning …
Jan 6, 2018 · 37 As per this and this answer, autoencoders seem to be a technique that uses neural networks for dimension reduction. I would like to additionally know what is a variational autoencoder …
deep learning - When should I use a variational autoencoder as …
Jan 22, 2018 · I understand the basic structure of variational autoencoder and normal (deterministic) autoencoder and the math behind them, but when and why would I prefer one type of autoencoder to …
Image generation using autoencoder vs. variational autoencoder
Sep 17, 2021 · I think that the autoencoder (AE) generates the same new images every time we run the model because it maps the input image to a single point in the latent space. On the other hand, the …
How to weight KLD loss vs reconstruction loss in variational auto …
Mar 7, 2018 · How to weight KLD loss vs reconstruction loss in variational auto-encoder? Ask Question Asked 7 years, 10 months ago Modified 2 years, 4 months ago
How should I intuitively understand the KL divergence loss in ...
How should I intuitively understand the KL divergence loss in variational autoencoders? [duplicate] Ask Question Asked 6 years, 10 months ago Modified 6 years, 2 months ago
Variational Autoencoder − Dimension of the latent space
And in a variational autoencoder, each feature is actually a sliding scale between two distinct versions of a feature, e.g. male/female for faces, or wide/thin brushstroke for MNIST digits. Can you think of just …
Prior in variational autoencoders - Cross Validated
May 1, 2022 · 5 I am currently dealing with variational autoencoders where I've read the original paper "An introduction to variational Bayes" from Kingma and Welling. I am currently still a little confused …
Normalizing flows as a generalization of variational autoencoders ...
Apr 24, 2021 · For those curious to link the said techniques to more state-of-the-art generative algorithms, diffusion models can be transformed into continuous normalizing flows (CNFs) and …
probability - Variational autoencoder: Why reconstruction term is same ...
May 21, 2018 · Variational autoencoder: Why reconstruction term is same to square loss? Ask Question Asked 7 years, 7 months ago Modified 6 years, 5 months ago
Why do we use Gaussian distributions in Variational Autoencoder?
Apr 11, 2019 · 21 I still don't understand why we force the distribution of the hidden representation of a Variational Autoencoder (VAE) to follow a multivariate normal distribution. Why this specific …