Nils Strassenburg

According to our database, Nils Strassenburg authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Poodle: Seamlessly Scaling Down Large Language Models with Just-in-Time Model Replacement.

Nils Strassenburg, Boris Glavic, Tilmann Rabl

CoRR, December, 2025

TCO2: Analyzing the Carbon Footprint of Database Server Replacements.

Marc Baeuerle, Thomas Bodner, Martin Boissier, Tilmann Rabl, Ricardo Salazar-Díaz, Florian Schmeller, Nils Strassenburg, Ilin Tolovski, Marcel Weisgut, Wang Yue

Proc. VLDB Endow., August, 2025

Alsatian: Optimizing Model Search for Deep Transfer Learning.

Nils Strassenburg, Boris Glavic, Tilmann Rabl

Proc. ACM Manag. Data, June, 2025

Reproducibility Report for ACM SIGMOD 2025 Paper: 'Alsatian: Optimizing Model Search for Deep Transfer Learning'.

Zhanghan Wang, Yan Pang, Nils Strassenburg

Proceedings of the Reproducibility Reports of the 2025 International Conference on Management of Data, 2025

PQ Bench: Benchmarking Pruning and Quantization Techniques.

Jonas Schulze, Nils Strassenburg, Tilmann Rabl

Proceedings of the Workshop on Data Management for End-to-End Machine Learning, 2025

A Case for Ecological Efficiency in Database Server Lifecycles.

Thomas Bodner, Martin Boissier, Tilmann Rabl, Ricardo Salazar-Díaz, Florian Schmeller, Nils Strassenburg, Ilin Tolovski, Marcel Weisgut, Wang Yue

Proceedings of the 15th Conference on Innovative Data Systems Research, 2025

2023

Efficient Multi-Model Management.

Nils Strassenburg, Dominic Kupfer, Julia Kowal, Tilmann Rabl

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

Efficiently Managing Deep Learning Models in a Distributed Environment.

Nils Strassenburg, Ilin Tolovski, Tilmann Rabl

Proceedings of the 25th International Conference on Extending Database Technology, 2022