A Strategic Routing Framework and Algorithms for Computing Alternative Paths. - Thomas Bläsius; Maximilian Böther; Philipp Fischbeck; Tobias Friedrich 001; Alina Gries; Falk Hüffner; Otto Kißig; Pascal Lenzner; Louise Molitor; Leon Schiller; Armin Wells; Simon Wietheger (ATMOS, 2020)

Learning Languages with Decidable Hypotheses. - Julian Berger; Maximilian Böther; Vanja Doskoc; Jonathan Gadea Harder; Nicolas Klodt; Timo Kötzing; Winfried Lötzsch; Jannik Peters 001; Leon Schiller; Lars Seifert; Armin Wells; Simon Wietheger (CiE, 2021)

Drop It In Like It's Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs. - Maximilian Böther; Otto Kißig; Lawrence Benson; Tilmann Rabl (DaMoN, 2021)

Scale-down experiments on TPCx-HS. - Maximilian Böther; Tilmann Rabl (BiDEDE@SIGMOD, 2021)

Law Smells: Defining and Detecting Problematic Patterns in Legal Drafting. - Corinna Coupette; Dirk Hartung; Janis Beckedorf; Maximilian Böther; Daniel Martin Katz (CoRR, 2021)

What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization. - Maximilian Böther; Otto Kißig; Martin Taraz; Sarel Cohen; Karen Seidel 001; Tobias Friedrich 001 (ICLR, 2022)

Efficiently Computing Directed Minimum Spanning Trees. - Maximilian Böther; Otto Kißig; Christopher Weyand (ALENEX, 2023)

Towards A Platform and Benchmark Suite for Model Training on Dynamic Datasets. - Maximilian Böther; Foteini Strati; Viktor Gsteiger; Ana Klimovic (EuroMLSys@EuroSys, 2023)

Modyn: A Platform for Model Training on Dynamic Datasets With Sample-Level Data Selection. - Maximilian Böther; Viktor Gsteiger; Ties Robroek; Ana Klimovic (CoRR, 2023)

Analyzing Vectorized Hash Tables Across CPU Architectures. - Maximilian Böther; Lawrence Benson; Ana Klimovic; Tilmann Rabl (Proc. VLDB Endow., 2023)

Law Smells. - Corinna Coupette; Dirk Hartung; Janis Beckedorf; Maximilian Böther; Daniel Martin Katz (Artif. Intell. Law, 2023)

Evolutionary Minimization of Traffic Congestion. - Maximilian Böther; Leon Schiller; Philipp Fischbeck; Louise Molitor; Martin S. Krejca; Tobias Friedrich 001 (IEEE Trans. Evol. Comput., 2023)

Maps for learning indexable classes. - Julian Berger; Maximilian Böther; Vanja Doskoc; Jonathan Gadea Harder; Nicolas Klodt; Timo Kötzing; Winfried Lötzsch; Jannik Peters 001; Leon Schiller; Lars Seifert; Armin Wells; Simon Wietheger (Comput., 2024)

On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions. - Maximilian Böther; Abraham Sebastian; Pranjal Awasthi; Ana Klimovic; Srikumar Ramalingam (CoRR, 2024)

Mixtera: A Data Plane for Foundation Model Training. - Maximilian Böther; Xiaozhe Yao; Tolga Kerimoglu; Ana Klimovic (CoRR, 2025)

Modyn: Data-Centric Machine Learning Pipeline Orchestration. - Maximilian Böther; Ties Robroek; Viktor Gsteiger; Robin Holzinger; Xianzhe Ma; Pinar Tözün; Ana Klimovic (Proc. ACM Manag. Data, 2025)