JCC-H: Adding Join Crossing Correlations with Skew to TPC-H. - Peter A. Boncz; Angelos-Christos G. Anadiotis; Steffen Kläbe (TPCTC, 2017)

Elastic Scaling in VectorH. - Steffen Kläbe; Kai-Uwe Sattler; Stephan Baumann 002; Michael Rink 001 (EDBT, 2020)

PatchIndex - Exploiting Approximate Constraints in Self-managing Databases. - Steffen Kläbe; Kai-Uwe Sattler; Stephan Baumann 002 (ICDE Workshops, 2020)

Applying Machine Learning Models to Scalable DataFrames with Grizzly. - Steffen Kläbe; Stefan Hagedorn (BTW, 2021)

Putting Pandas in a Box. - Stefan Hagedorn; Steffen Kläbe; Kai-Uwe Sattler (CIDR, 2021)

Conquering a Panda's weaker self - Fighting laziness with laziness. - Stefan Hagedorn; Steffen Kläbe; Kai-Uwe Sattler (EDBT, 2021)

Updatable Materialization of Approximate Constraints. - Steffen Kläbe; Kai-Uwe Sattler; Stephan Baumann 002 (ICDE, 2021)

PatchIndex: exploiting approximate constraints in distributed databases. - Steffen Kläbe; Kai-Uwe Sattler; Stephan Baumann 002 (Distributed Parallel Databases, 2021)

Accelerating Python UDFs in Vectorized Query Execution. - Steffen Kläbe; Robert DeSantis; Stefan Hagedorn; Kai-Uwe Sattler (CIDR, 2022)

Exploration of Approaches for In-Database ML. - Steffen Kläbe; Stefan Hagedorn; Kai-Uwe Sattler (EDBT, 2023)

Patched Multi-Key Partitioning for Robust Query Performance. - Steffen Kläbe; Kai-Uwe Sattler (EDBT, 2023)

Modern data analytics in the cloud era. - Steffen Kläbe (TU Ilmenau, 2023)

So Far and yet so Near - Accelerating Distributed Joins with CXL. - Alexander Baumstark; Marcus Paradies; Kai-Uwe Sattler; Steffen Kläbe; Stephan Baumann 002 (DaMoN, 2024)

Modern Data Analytics in the Cloud Era. - Steffen Kläbe (BTW, 2025)

Beyond the Data Warehouse: Modern and fast Data Analytics in Actian Vector. - Steffen Kläbe; Stefan Hagedorn; Francis Gropengießer; Thomas Schweser (BTW, 2025)