Christian Wirth

32 papers A* 1A 3B 1C 1Misc 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection. xAI (1) Tanmay Chakraborty, Christian Wirth, Christin Seifert
2025	J	`jnl`	Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection. CoRR Tanmay Chakraborty, Christian Wirth, Christin Seifert
2025	—	`conf`	Efficient Contextual Preferential Bayesian Optimization with Historical Examples. GECCO Companion Farha A. Khan, Tanmay Chakraborty, Jörg P. Dietrich, Christian Wirth
2025	—	`conf`	Explainable Bayesian Optimization. xAI (2) Tanmay Chakraborty, Christian Wirth, Christin Seifert
2025	J	`jnl`	Explanation format does not matter; but explanations do - An Eggsbert study on explaining Bayesian Optimisation tasks. CoRR Tanmay Chakraborty, Marion Koelle, Jörg Schlötterer, Nadine Schlicker, Christian Wirth, Christin Seifert
2025	J	`jnl`	Generative AI for Autonomous Driving: A Review. CoRR Katharina Winter, Abhishek Vivekanandan, Rupert Polley, Yinzhe Shen, Christian Schlauch, Mohamed-Khalil Bouzidi, Bojan Derajic, Natalie Grabowsky, Annajoyce Mariani, Dennis Rochau, Giovanni Lucente, Harsh Yadav, Firas Mualla, Adam Molin, Sebastian Bernhard, Christian Wirth, Ömer Sahin Tas, Nadja Klein, Fabian B. Flohr, Hanno Gottschalk
2025	J	`jnl`	Streamlining the Development of Active Learning Methods in Real-World Object Detection. CoRR Moussa Kassem Sbeyti, Nadja Klein, Michelle Karg, Christian Wirth, Sahin Albayrak
2025	J	`jnl`	Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification. CoRR Kumar Manas, Christian Schlauch, Adrian Paschke, Christian Wirth, Nadja Klein
2024	A	`conf`	Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. UAI Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak
2024	J	`jnl`	Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. CoRR Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak
2024	J	`jnl`	Explainable Bayesian Optimization. CoRR Tanmay Chakraborty, Christin Seifert, Christian Wirth
2024	A	`conf`	Informed Spectral Normalized Gaussian Processes for Trajectory Prediction. ECAI Christian Schlauch, Christian Wirth, Nadja Klein
2024	J	`jnl`	Informed Spectral Normalized Gaussian Processes for Trajectory Prediction. CoRR Christian Schlauch, Christian Wirth, Nadja Klein
2023	—	`conf`	Informed Priors for Knowledge Integration in Trajectory Prediction. ECML/PKDD (5) Christian Schlauch, Christian Wirth, Nadja Klein
2023	J	`jnl`	Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration. CoRR Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak
2023	—	`conf`	Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration. ECML/PKDD (5) Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak
2023	—	`conf`	Post-hoc Rule Based Explanations for Black Box Bayesian Optimization. ECAI Workshops (1) Tanmay Chakraborty, Christian Wirth, Christin Seifert
2022	J	`jnl`	Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks. CoRR Gesina Schwalbe, Christian Wirth, Ute Schmid
2022	J	`jnl`	Efficient Utility Function Learning for Multi-Objective Parameter Optimization with Prior Knowledge. CoRR Farha A. Khan, Jörg P. Dietrich, Christian Wirth
2022	J	`jnl`	Informed Priors for Knowledge Integration in Trajectory Prediction. CoRR Christian Schlauch, Nadja Klein, Christian Wirth
2022	J	`jnl`	Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR 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
2018	J	`jnl`	Informed Hybrid Game Tree Search for General Video Game Playing. IEEE Trans. Games Tobias Joppen, Miriam Ulrike Moneke, Nils Schröder, Christian Wirth, Johannes Fürnkranz
2018	Misc	`conf`	Preference-Based Monte Carlo Tree Search. KI Tobias Joppen, Christian Wirth, Johannes Fürnkranz
2018	J	`jnl`	Preference-Based Monte Carlo Tree Search. CoRR Tobias Joppen, Christian Wirth, Johannes Fürnkranz
2017	J	`jnl`	A Survey of Preference-Based Reinforcement Learning Methods. J. Mach. Learn. Res. Christian Wirth, Riad Akrour, Gerhard Neumann, Johannes Fürnkranz
2017	—	`—`	Efficient Preference-based Reinforcement Learning Christian Wirth
2016	A*	`conf`	Model-Free Preference-Based Reinforcement Learning. AAAI Christian Wirth, Johannes Fürnkranz, Gerhard Neumann
2015	J	`jnl`	On Learning From Game Annotations. IEEE Trans. Comput. Intell. AI Games Christian Wirth, Johannes Fürnkranz
2014	—	`conf`	Preference Learning from Annotated Game Databases. LWA Christian Wirth, Johannes Fürnkranz
2013	B	`conf`	A Policy Iteration Algorithm for Learning from Preference-Based Feedback. IDA Christian Wirth, Johannes Fürnkranz
2013	C	`conf`	EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning. ACML Christian Wirth, Johannes Fürnkranz
2012	A	`conf`	UBY - A Large-Scale Unified Lexical-Semantic Resource Based on LMF. EACL Iryna Gurevych, Judith Eckle-Kohler, Silvana Hartmann, Michael Matuschek, Christian M. Meyer, Christian Wirth