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ORCIDChristian Wirth 0001
Person information
- affiliation: Continental AG, Frankfurt, Germany
- affiliation (former): Technische Universität Darmstadt, Darmstadt, Germany
Other persons with the same name
- Christian Wirth 0002 — Johannes Kepler University Linz, Linz, Austria
- Christian Wirth 0003 — Leipzig University, Leipzig, Germany
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2020 – today
- 2024
[c10]Christian Schlauch, Christian Wirth, Nadja Klein:
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction. ECAI 2024: 3023-3030- [i9]Tanmay Chakraborty, Christin Seifert, Christian Wirth:
Explainable Bayesian Optimization. CoRR abs/2401.13334 (2024) - [i8]Christian Schlauch, Christian Wirth, Nadja Klein:
Informed Spectral Normalized Gaussian Processes for Trajectory Prediction. CoRR abs/2403.11966 (2024) - [i7]Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak:
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. CoRR abs/2404.17427 (2024) - 2023
- [c9]Tanmay Chakraborty
, Christian Wirth, Christin Seifert:
Post-hoc Rule Based Explanations for Black Box Bayesian Optimization. ECAI Workshops (1) 2023: 320-337 - [c8]Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak:
Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration. ECML/PKDD (5) 2023: 52-68 - [c7]Christian Schlauch, Christian Wirth, Nadja Klein:
Informed Priors for Knowledge Integration in Trajectory Prediction. ECML/PKDD (5) 2023: 392-407 - [i6]Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak:
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration. CoRR abs/2306.08981 (2023) - 2022
- [i5]Gesina Schwalbe, Christian Wirth, Ute Schmid:
Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks. CoRR abs/2201.00572 (2022) - [i4]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:
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR abs/2205.04712 (2022) - [i3]Farha A. Khan, Jörg P. Dietrich, Christian Wirth:
Efficient Utility Function Learning for Multi-Objective Parameter Optimization with Prior Knowledge. CoRR abs/2208.10300 (2022) - [i2]Christian Schlauch, Nadja Klein, Christian Wirth:
Informed Priors for Knowledge Integration in Trajectory Prediction. CoRR abs/2211.00348 (2022)
2010 – 2019
- 2018
- [j3]Tobias Joppen, Miriam Ulrike Moneke, Nils Schröder, Christian Wirth, Johannes Fürnkranz:
Informed Hybrid Game Tree Search for General Video Game Playing. IEEE Trans. Games 10(1): 78-90 (2018) - [c6]Tobias Joppen, Christian Wirth, Johannes Fürnkranz:
Preference-Based Monte Carlo Tree Search. KI 2018: 327-340 - [i1]Tobias Joppen, Christian Wirth, Johannes Fürnkranz:
Preference-Based Monte Carlo Tree Search. CoRR abs/1807.06286 (2018) - 2017
- [b1]Christian Wirth:
Efficient Preference-based Reinforcement Learning. TU Darmstadt, Germany, 2017 - [j2]Christian Wirth, Riad Akrour, Gerhard Neumann, Johannes Fürnkranz:
A Survey of Preference-Based Reinforcement Learning Methods. J. Mach. Learn. Res. 18: 136:1-136:46 (2017) - 2016
- [c5]Christian Wirth, Johannes Fürnkranz, Gerhard Neumann:
Model-Free Preference-Based Reinforcement Learning. AAAI 2016: 2222-2228 - 2015
- [j1]Christian Wirth, Johannes Fürnkranz:
On Learning From Game Annotations. IEEE Trans. Comput. Intell. AI Games 7(3): 304-316 (2015) - 2014
- [c4]Christian Wirth, Johannes Fürnkranz:
Preference Learning from Annotated Game Databases. LWA 2014: 57-68 - 2013
- [c3]Christian Wirth, Johannes Fürnkranz:
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning. ACML 2013: 483-497 - [c2]Christian Wirth, Johannes Fürnkranz:
A Policy Iteration Algorithm for Learning from Preference-Based Feedback. IDA 2013: 427-437 - 2012
- [c1]Iryna Gurevych, Judith Eckle-Kohler, Silvana Hartmann, Michael Matuschek, Christian M. Meyer, Christian Wirth:
UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF. EACL 2012: 580-590
Coauthor Index
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