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Found 2 papers, 1 papers with code
Convergent autoencoder approximation of low bending and low distortion manifold embeddings
The encoder embeds the input data manifold into a lower-dimensional latent space, while the decoder represents the inverse map, providing a parametrization of the data manifold by the manifold in latent space.
Learning low bending and low distortion manifold embeddings
The encoder provides an embedding from the input data manifold into a latent space which may then be used for further processing.
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