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 20 papers between 2020 and 2026.

Collaborative distances:

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Bibliography

2026
The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data.
CoRR, March, 2026

ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset.
CoRR, February, 2026

2025
Erratum to: Opinion Pieces of the BTW 2025 Workshop On Advances in Cloud Data Management.
Datenbank-Spektrum, November, 2025

Opinion Pieces of the BTW 2025 Workshop On Advances in Cloud Data Management.
Datenbank-Spektrum, November, 2025

Modyn: Data-Centric Machine Learning Pipeline Orchestration.
Proc. ACM Manag. Data, February, 2025

Mixtera: A Data Plane for Foundation Model Training.
CoRR, February, 2025

On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions.
Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

2024
Maps for learning indexable classes.
Comput., 2024

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 25th 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

Evolutionary minimization of traffic congestion.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 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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