Maximilian Böther

Orcid: 0000-0003-4093-4361

Affiliations:
  • ETH Zurich, Switzerland
  • Hasso Plattner Institute, Potsdam, Germany (former)


According to our database1, Maximilian Böther authored at least 14 papers between 2020 and 2024.

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Timeline

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Bibliography

2024
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions.
CoRR, 2024

Maps for learning indexable classes.
Comput., 2024

2023
Evolutionary Minimization of Traffic Congestion.
IEEE Trans. Evol. Comput., December, 2023

Law Smells.
Artif. Intell. Law, June, 2023

Analyzing Vectorized Hash Tables Across CPU Architectures.
Proc. VLDB Endow., 2023

Modyn: A Platform for Model Training on Dynamic Datasets With Sample-Level Data Selection.
CoRR, 2023

Towards A Platform and Benchmark Suite for Model Training on Dynamic Datasets.
Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

Efficiently Computing Directed Minimum Spanning Trees.
Proceedings of the Symposium on Algorithm Engineering and Experiments, 2023

2022
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Law Smells: Defining and Detecting Problematic Patterns in Legal Drafting.
CoRR, 2021

Scale-down experiments on TPCx-HS.
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.
Proceedings of the 17th International Workshop on Data Management on New Hardware, 2021

Learning Languages with Decidable Hypotheses.
Proceedings of the Connecting with Computability, 2021

2020
A Strategic Routing Framework and Algorithms for Computing Alternative Paths.
Proceedings of the 20th Symposium on Algorithmic Approaches for Transportation Modelling, 2020


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