4 datasets found

The dataset is not explicitly described in the paper, but it is mentioned that the authors used a simple autoencoder to learn a low-order representation of the turbulent flow.

Importance weighted autoencoders

Generative Autoencoding of Dropout Patterns

The dataset used in this paper is a binary autoencoder dataset, where the goal is to learn a binary autoencoder that can reconstruct the input data with the worst-case optimal...