Implicit Parallelism through Deep Language Embedding. - Alexander Alexandrov 001; Andreas Kunft; Asterios Katsifodimos; Felix Schüler; Lauritz Thamsen; Odej Kao; Tobias Herb; Volker Markl (SIGMOD Conference, 2015)

Bridging the gap: towards optimization across linear and relational algebra. - Andreas Kunft; Alexander Alexandrov 001; Asterios Katsifodimos; Volker Markl (BeyondMR@SIGMOD, 2016)

PEEL: A Framework for Benchmarking Distributed Systems and Algorithms. - Christoph Boden; Alexander Alexandrov 001; Andreas Kunft; Tilmann Rabl; Volker Markl (TPCTC, 2017)

BlockJoin: Efficient Matrix Partitioning Through Joins. - Andreas Kunft; Asterios Katsifodimos; Sebastian Schelter; Tilmann Rabl; Volker Markl (Proc. VLDB Endow., 2017)

ScootR: Scaling R Dataframes on Dataflow Systems. - Andreas Kunft; Lukas Stadler; Daniele Bonetta; Cosmin Basca; Jens Meiners; Sebastian Breß; Tilmann Rabl; Juan José Fumero; Volker Markl (SoCC, 2018)

An Intermediate Representation for Optimizing Machine Learning Pipelines. - Andreas Kunft; Asterios Katsifodimos; Sebastian Schelter; Sebastian Breß; Tilmann Rabl; Volker Markl (Proc. VLDB Endow., 2019)

Optimizing end-to-end machine learning pipelines for model training. - Andreas Kunft (2019)

RudolfV: A Foundation Model by Pathologists for Pathologists. - Jonas Dippel; Barbara Feulner; Tobias Winterhoff; Simon Schallenberg; Gabriel Dernbach; Andreas Kunft; Stephan Tietz; Philipp Jurmeister; David Horst; Lukas Ruff; Klaus-Robert Müller; Frederick Klauschen; et al. (CoRR, 2024)

Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics. - Maximilian Alber; Stephan Tietz; Jonas Dippel; Timo Milbich; Timothée Lesort; Panos Korfiatis; Moritz Krügener; Beatriz Perez Cancer; Neelay Shah; Alexander Möllers; Philipp Seegerer; Alexandra Carpen-Amarie; et al. (CoRR, 2025)