Grid-AR: Enhancing Learned Cardinality Estimation and Range Joins with a Grid-Based Approach

Grid-AR is a novel hybrid approach that combines a grid structure with autoregressive models to improve the speed and efficiency of cardinality estimation, particularly for range predicates and range join queries in databases.