Maximilian Böther

According to our database, Maximilian Böther authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions.

Maximilian Böther, Abraham Sebastian, Pranjal Awasthi, Ana Klimovic, Srikumar Ramalingam

CoRR, 2024

2023

Evolutionary Minimization of Traffic Congestion.

Maximilian Böther, Leon Schiller, Philipp Fischbeck, Louise Molitor, Martin S. Krejca, Tobias Friedrich

IEEE Trans. Evol. Comput., December, 2023

Law Smells.

Corinna Coupette, Dirk Hartung, Janis Beckedorf, Maximilian Böther, Daniel Martin Katz

Artif. Intell. Law, June, 2023

Analyzing Vectorized Hash Tables Across CPU Architectures.

Maximilian Böther, Lawrence Benson, Ana Klimovic, Tilmann Rabl

Proc. VLDB Endow., 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

Towards A Platform and Benchmark Suite for Model Training on Dynamic Datasets.

Maximilian Böther, Foteini Strati, Viktor Gsteiger, Ana Klimovic

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

Efficiently Computing Directed Minimum Spanning Trees.

Maximilian Böther, Otto Kißig, Christopher Weyand

Proceedings of the Symposium on Algorithm Engineering and Experiments, 2023

2022

What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization.

Maximilian Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Law Smells: Defining and Detecting Problematic Patterns in Legal Drafting.

Corinna Coupette, Dirk Hartung, Janis Beckedorf, Maximilian Böther, Daniel Martin Katz

CoRR, 2021

Scale-down experiments on TPCx-HS.

Maximilian Böther, Tilmann Rabl

Proceedings of the BiDEDE '21: Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 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

Proceedings of the 17th International Workshop on Data Management on New Hardware, 2021

Learning Languages with Decidable Hypotheses.

Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger

Proceedings of the Connecting with Computability, 2021

2020

Maps for Learning Indexable Classes.

Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger

CoRR, 2020

A Strategic Routing Framework and Algorithms for Computing Alternative Paths.

Thomas Bläsius, Maximilian Böther, Philipp Fischbeck, Tobias Friedrich, Alina Gries, Falk Hüffner, Otto Kißig, Pascal Lenzner, Louise Molitor, Leon Schiller, Armin Wells, Simon Wietheger

Proceedings of the 20th Symposium on Algorithmic Approaches for Transportation Modelling, 2020