Ivan Pleshkov personal blog

A polynomial autoencoder beats PCA on transformer embeddings

A closed-form autoencoder: PCA encoder + quadratic Ridge decoder. On FiQA it gives 4× compression of mxbai-embed-large-v1 at -0.88 p.p. NDCG@10, +1.34 p.p. over PCA. No SGD, no neural networks.
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AI & Machine LearningDatabases & Data2026

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May 5, 2026A polynomial autoencoder beats PCA on transformer embeddings by timvisee10636

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