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)
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Authors
- 1. Eduardo Reis
- 2. Mohamed Abdelaal
- 3. Carsten Binnig
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