MEDAL distills manifold embeddings into autoencoders to enable out-of-sample extension and held-out validation of dimension reduction methods.
A critical analysis of the usage of dimensionality reduction in four domains.IEEE Transactions on Visualization and Computer Graphics, 31(10):9405–9423, October 2025
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MEDAL: Manifold Embedding Distillation via Autoencoder Learning
MEDAL distills manifold embeddings into autoencoders to enable out-of-sample extension and held-out validation of dimension reduction methods.