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Sarah Segel

Sarah Krebs

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affiliation: Leibniz Universität Hannover, Germany

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Conference and Workshop Papers

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2023
[c1]
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  dblp key:
  - conf/automl/SegelGTBL23
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  - https://dblp.org/rec/conf/automl/SegelGTBL23
Sarah Segel, Helena Graf, Alexander Tornede, Bernd Bischl, Marius Lindauer:
Symbolic Explanations for Hyperparameter Optimization. AutoML 2023: 2/1-22

Informal and Other Publications

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2023
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  dblp key:
  - journals/corr/abs-2306-08107
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  - https://dblp.org/rec/journals/corr/abs-2306-08107
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer:
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks. CoRR abs/2306.08107 (2023)
2021
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  dblp key:
  - journals/corr/abs-2104-11106
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  - https://dblp.org/rec/journals/corr/abs-2104-11106
Adrian Remonda, Sarah Krebs, Eduardo E. Veas, Granit Luzhnica, Roman Kern:
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data. CoRR abs/2104.11106 (2021)

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