Christian Wirth

Orcid: 0000-0002-3980-4511

Affiliations:
  • Continental AG, Frankfurt, Germany
  • Technische Universität Darmstadt, Darmstadt, Germany (former)


According to our database1, Christian Wirth authored at least 19 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction.
CoRR, 2024

Explainable Bayesian Optimization.
CoRR, 2024

2023
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration.
CoRR, 2023

Informed Priors for Knowledge Integration in Trajectory Prediction.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Post-hoc Rule Based Explanations for Black Box Bayesian Optimization.
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.
CoRR, 2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.
CoRR, 2022

Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks.
CoRR, 2022

2018
Informed Hybrid Game Tree Search for General Video Game Playing.
IEEE Trans. Games, 2018

Preference-Based Monte Carlo Tree Search.
Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

2017
Efficient Preference-based Reinforcement Learning
PhD thesis, 2017

A Survey of Preference-Based Reinforcement Learning Methods.
J. Mach. Learn. Res., 2017

2016
Model-Free Preference-Based Reinforcement Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
On Learning From Game Annotations.
IEEE Trans. Comput. Intell. AI Games, 2015

2014
Preference Learning from Annotated Game Databases.
Proceedings of the 16th LWA Workshops: KDML, 2014

2013
A Policy Iteration Algorithm for Learning from Preference-Based Feedback.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF.
Proceedings of the EACL 2012, 2012


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