Sarah Segel

PhD student, Universität Hannover

Joined

March 2023

Names

Sarah Segel (Preferred)

,

Sarah Krebs

Emails

****@ai.uni-hannover.de (Confirmed)

Personal Links

Career & Education History

PhD student

Universität Hannover (uni-hannover.de)

2022 – Present

Data Scientist

OSP (Otto Group Solution Provider) (ottogroup.com)

2018 – 2022

Data Scientist

Know-Center (know-center.at)

2017 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Marius Lindauer

2022 – Present

Expertise

Automated Machine Learning

Present

Interpretable Machine Learning

Present

Publications

AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
- AutoML 2024 Journal Track
- Readers: Everyone
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
- Accepted by TMLR
- Readers: Everyone
Symbolic Explanations for Hyperparameter Optimization
Sarah Segel, Helena Graf, Alexander Tornede, Bernd Bischl, Marius Lindauer
- Published: 16 May 2023, Last Modified: 05 Sept 2023
- AutoML 2023 MainTrack
- Readers: Everyone
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
Adrian Remonda, Sarah Krebs, Eduardo E. Veas, Granit Luzhnica, Roman Kern
- 2021 (modified: 06 Feb 2023)
- CoRR 2021
- Readers: Everyone

Co-Authors