FACE: A Normalizing Flow based Cardinality Estimator
Summary: FACE: a data-driven cardinality estimator leveraging Normalizing Flows to learn a continuous joint distribution over relational attributes and estimate cardinalities from model density via Monte Carlo. Adds dequantization and LIKE encoding/indexing for strings; much higher accuracy with similar latency and model size. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jiayi Wang
- 2. Chengliang Chai
- 3. Jiabin Liu
- 4. Guoliang Li
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