5 citations · 8 across the 4 of their papers we have counts for
4 papers
Automated Training of Learned Database Components with Generative AI
Angjela Davitkova, Sebastian Michel
The use of deep learning for database optimization has gained significant traction, offering improvements in indexing, cardinality estimation, and query optimization. However, acqu…
Grid-AR: A Grid-based Booster for Learned Cardinality Estimation and Range Joins
Damjan Gjurovski, Angjela Davitkova, Sebastian Michel
We propose an advancement in cardinality estimation by augmenting autoregressive models with a traditional grid structure. The novel hybrid estimator addresses the limitations of a…
Compressing (Multidimensional) Learned Bloom Filters
Angjela Davitkova, Damjan Gjurovski, Sebastian Michel
Bloom filters are widely used data structures that compactly represent sets of elements. Querying a Bloom filter reveals if an element is not included in the underlying set or is i…
LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs
Angjela Davitkova, Damjan Gjurovski, Sebastian Michel
Accurate cardinality estimates are a key ingredient to achieve optimal query plans. For RDF engines, specifically under common knowledge graph processing workloads, the lack of sch…