Christian Wirth

According to our database, Christian Wirth authored at least 20 papers between 2012 and 2024.

Collaborative distances:

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

2024

Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection.

Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak

CoRR, 2024

Explainable Bayesian Optimization.

Tanmay Chakraborty, Christin Seifert, Christian Wirth

CoRR, 2024

Informed Spectral Normalized Gaussian Processes for Trajectory Prediction.

Christian Schlauch, Christian Wirth, Nadja Klein

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration.

Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak

CoRR, 2023

Informed Priors for Knowledge Integration in Trajectory Prediction.

Christian Schlauch, Christian Wirth, Nadja Klein

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration.

Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Post-hoc Rule Based Explanations for Black Box Bayesian Optimization.

Tanmay Chakraborty, Christian Wirth, Christin Seifert

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Efficient Utility Function Learning for Multi-Objective Parameter Optimization with Prior Knowledge.

Farha A. Khan, Jörg P. Dietrich, Christian Wirth

CoRR, 2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks.

Gesina Schwalbe, Christian Wirth, Ute Schmid

CoRR, 2022

2018

Informed Hybrid Game Tree Search for General Video Game Playing.

Tobias Joppen, Miriam Ulrike Moneke, Nils Schröder, Christian Wirth, Johannes Fürnkranz

IEEE Trans. Games, 2018

Preference-Based Monte Carlo Tree Search.

Tobias Joppen, Christian Wirth, Johannes Fürnkranz

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

2017

Efficient Preference-based Reinforcement Learning

Christian Wirth

PhD thesis, 2017

A Survey of Preference-Based Reinforcement Learning Methods.

Christian Wirth, Riad Akrour, Gerhard Neumann, Johannes Fürnkranz

J. Mach. Learn. Res., 2017

2016

Model-Free Preference-Based Reinforcement Learning.

Christian Wirth, Johannes Fürnkranz, Gerhard Neumann

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

On Learning From Game Annotations.

Christian Wirth, Johannes Fürnkranz

IEEE Trans. Comput. Intell. AI Games, 2015

2014

Preference Learning from Annotated Game Databases.

Christian Wirth, Johannes Fürnkranz

Proceedings of the 16th LWA Workshops: KDML, 2014

2013

A Policy Iteration Algorithm for Learning from Preference-Based Feedback.

Christian Wirth, Johannes Fürnkranz

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning.

Christian Wirth, Johannes Fürnkranz

Proceedings of the Asian Conference on Machine Learning, 2013

2012

UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF.

Iryna Gurevych, Judith Eckle-Kohler, Silvana Hartmann, Michael Matuschek, Christian M. Meyer, Christian Wirth

Proceedings of the EACL 2012, 2012