Publications

See also My DBLP Entry

  • Learning over Sets for Databases. Angjela Davitkova, Damjan Gjurovski, and Sebastian Michel. EDBT. 2024.
  • To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks. Nico Schäfer, Damjan Gjurovski, Angjela Davitkova, and Sebastian Michel. Proc. VLDB Endow.. 2023.
  • Tuple Bubbles: Learned Tuple Representation for Tunable Approximate Query Processing. Damjan Gjurovski and Sebastian Michel. Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), co-located with ACM SIGMOD. 2023.
  • LMKG: Learned Models for Cardinality Estimation in Knowledge Graphs. Angjela Davitkova, Damjan Gjurovski, and Sebastian Michel. EDBT. 2022.
  • Summarizing Edge-Device Data via Core Items. Damjan Gjurovski, Jan Heidemann, and Sebastian Michel. ADBIS. 2022.
  • Compressing (Multidimensional) Learned Bloom Filters. Angjela Davitkova, Damjan Gjurovski, and Sebastian Michel. DBAI@NeurIPS. 2021.
  • Natural Joins for Schema-free Data. Damjan Gjurovski, and Sebastian Michel. IEEE BigData. 2021.
  • Scaling Out Schema-free Stream Joins. Damjan Gjurovski, and Sebastian Michel. ICDE. 2020.