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Generalizable Data Cleaning of Tabular Data in Latent Space

Summary: Clean tabular data in latent space: shape latent manifold to define a "clean" region and train Lopster operators that shift noisy/outlier/missing-row embeddings back to it. Unified detection+repair, generalizes to unseen errors and outperforms SOTA. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13721
Venue
VLDB
Year
2024
Pagerank
4.1945683e-05
Overall Rank
11,137 | 22.53%
DOI
10.14778/3704965.3704983

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