Convergent autoencoder approximation of low bending and low distortion manifold embeddings

Juliane Braunsmann, Marko Rajković, Martin Rumpf +1

Autoencoders, which consist of an encoder and a decoder, are widely used in machine learning for dimension reduction of high-dimensional data. The encoder embeds the input data man…