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Found 4 papers, 2 papers with code
The Duck's Brain: Training and Inference of Neural Networks in Modern Database Engines
Although database systems perform well in data access and manipulation, their relational model hinders data scientists from formulating machine learning algorithms in SQL.
RadixSpline: A Single-Pass Learned Index
Recent research has shown that learned models can outperform state-of-the-art index structures in size and lookup performance.
SOSD: A Benchmark for Learned Indexes
A groundswell of recent work has focused on improving data management systems with learned components.
Estimating Cardinalities with Deep Sketches
We introduce Deep Sketches, which are compact models of databases that allow us to estimate the result sizes of SQL queries.
Databases
