most citedConvergent autoencoder approximation of low bending and low distortion manifold embeddings

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

math.NA2022★ 1 cited

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…

math.NA2021★ 1 cited

Consistent Approximation of Interpolating Splines in Image Metamorphosis

Jorge Justiniano, Marko Rajković, Martin Rumpf

This paper investigates a variational model for splines in the image metamorphosis model for the smooth interpolation of key frames in the space of images. The Riemannian manifold…