13 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.CV2020★ 3 cited
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks
Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson
Autoencoders and generative models produce some of the most spectacular deep learning results to date. However, understanding and controlling the latent space of these models prese…
cs.CV2019★ 13 cited
A PCA-like Autoencoder
Saïd Ladjal, Alasdair Newson, Chi-Hieu Pham
An autoencoder is a neural network which data projects to and from a lower dimensional latent space, where this data is easier to understand and model. The autoencoder consists of…