arxiv
PublishedSeptember 1, 2026 at 4:00 AM
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Partially Linear Autoencoders for Manifold Learning and Dimensionality Reduction
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arXiv:2608.29867v1 Announce Type: new Abstract: Autoencoders are widely used for nonlinear dimensionality reduction and manifold learning. While most common implementations rely on both nonlinear encoders and decoders, we investigate the specific role of the encoder and the extent to which it can be
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Originally published on arxiv ↗