Sebastian Müller
Contact
Research Area
- Explainable Machine Learning
Vita
Since August 2020
Research Assistant at University of Bonn MLAI Lab
M.Sc.: Intelligent Systems, Bielefeld University, 2020
B.Sc.: Cognitive Computer Science, Bielefeld University, 2017
Publications
CFIRE: A General Method for Combining Local Explanations
Sebastian Müller, Vanessa Toborek, Tamás Horváth, Christian Bauckhage
Accepted at World Conference on eXplainable Artificial Intelligence 2025
Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality
Jorge de Heuvel, Sebastian Müller, Marlene Wessels, Aftab Akhtar, Christian Bauckhage, Maren Bennewitz
Accepted at IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) 2025
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
Sebastian Müller, Vanessa Toborek, Katharina Beckh, Matthias Jakobs, Christian Bauckhage, Pascal Welke
Machine Learning and Knowledge Discovery in Databases: Research Track. ECML PKDD 2023, doi: 10.1007/978-3-031-43418-1_28
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview
Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rueden
2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), Raleigh, NC, USA, 2023, pp. 450-463, doi: 10.1109/SaTML54575.2023.00038.
A Quantitative Human-Grounded Evaluation Process for Explainable Machine Learning
Katharina Beckh, Sebastian Müller, Stefan Rüping
Published LWDA’22: Lernen, Wissen, Daten, Analysen.
Also presented at ACM CHI Workshop Human-Centered Perspectives in Explainable AI 2022