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2020 – today
- 2025
[j3]Fatma Ozcan, Yeounoh Chung, Yannis Chronis, Yu Gan, Yawen Wang, Carsten Binnig, Johannes Wehrstein, Gaurav Tarlok Kakkar, Sami Abu-el-haija:
LLMs and Databases: A Synergistic Approach to Data Utilization. IEEE Data Eng. Bull. 49(1): 32-44 (2025)- [j2]Roman Heinrich
, Manisha Luthra, Johannes Wehrstein, Harald Kornmayer, Carsten Binnig:
How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks. Proc. ACM Manag. Data 3(3): 172:1-172:27 (2025) - [j1]Roman Heinrich, Oleksandr Havrylov, Manisha Luthra, Johannes Wehrstein, Carsten Binnig:
Opening The Black-Box: Explaining Learned Cost Models For Databases. Proc. VLDB Endow. 18(12): 5255-5258 (2025) - [c2]Johannes Wehrstein, Tiemo Bang, Roman Heinrich, Carsten Binnig:
GRACEFUL: A Learned Cost Estimator for UDFs. ICDE 2025: 2450-2463 - [i5]Roman Heinrich, Manisha Luthra, Johannes Wehrstein, Harald Kornmayer, Carsten Binnig:
How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks. CoRR abs/2502.01229 (2025) - [i4]Johannes Wehrstein, Tiemo Bang, Roman Heinrich, Carsten Binnig:
GRACEFUL: A Learned Cost Estimator For UDFs. CoRR abs/2503.23863 (2025) - [i3]Johannes Wehrstein, Timo Eckmann, Roman Heinrich, Carsten Binnig:
JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization. CoRR abs/2507.07471 (2025) - [i2]Roman Heinrich, Oleksandr Havrylov, Manisha Luthra, Johannes Wehrstein, Carsten Binnig:
Opening The Black-Box: Explaining Learned Cost Models For Databases. CoRR abs/2507.14495 (2025) - [i1]Johannes Wehrstein, Roman Heinrich, Mihail Stoian, Skander Krid, Martin Stemmer, Andreas Kipf, Carsten Binnig, Muhammad El-Hindi:
Redbench: Workload Synthesis From Cloud Traces. CoRR abs/2511.13059 (2025) - 2021
- [c1]Marcus Ritter, Alexander Geiß, Johannes Wehrstein, Alexandru Calotoiu, Thorsten Reimann, Torsten Hoefler, Felix Wolf:
Noise-Resilient Empirical Performance Modeling with Deep Neural Networks. IPDPS 2021: 23-34
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