Author

Pooja Rajput

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Preprint Sep 2026

QEmbed: A Deep Learning Based Cardinality Estimator for Efficient Query Processing

This paper proposes a deep learning model formally called QEmbed, built upon the Masked Autoencoder for Distribution Estimation (MADE) auto-regressive framework to learn joint data distributions for selectivity estimation, and designs a hybrid encoding scheme that combines one-hot and embedding encodings.

Pooja Rajput, Suman Banerjee · 0 citations