KI2026: GERMAN CONFERENCE ON ARTIFICIAL INTELLIGENCE

A
Abbenhaus, Viktoria	A Constraint-based Stockyard Planning Problem on a Realistic Time-Dependent Setting Integrating Insertion Heuristics into the Miller-Tucker-Zemlin Constraint Model for the Traveling Salesperson Problem Automatic Extraction of Constraints from Machine Learning Models for Duplication Detection
Abdelwahab, Mayar	Epistemically Grounded Neuro-Symbolic Coordination in Large Language Model-Based Multi-Agent Systems
B
Benzmüller, Christoph	Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains
Berger, Bernhard J.	A Comparison of Repositioning and Scheduling Algorithms for the Ride-Hailing Problem
Bouida, Ahmed	Quantum Temporal Convolution Network
Brenzke, Martin	Comparison of the Runtime of two Algorithms for the Linear Decomposition of ReLU Networks
Burr, Julia	Do Flat Representation Manifolds lead to improved Accuracy?
Bühler, Stefan	!Imperio, smolVLA: The Implications of Data Poisoning on Open Source Robotics
C
Chituc, Claudia-Melania	AI and E-Learning: On the importance of explainable AI in Digital Ecosystems in Research and Education
D
Dang, Xuzhe	SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning
Dawel, Lisa	Mitigating Data Scarcity in Lifecycle Data using AI and Matrix Completion Techniques: A Recommender System Design
Dietz, Arn	Comparison of the Runtime of two Algorithms for the Linear Decomposition of ReLU Networks
Draheim, Susanne	Evaluating AI as Part of Social Mechanisms
Drechsler, Rolf	A Comparison of Repositioning and Scheduling Algorithms for the Ride-Hailing Problem
E
Edelkamp, Stefan	SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning
Edgeworth, Kieran	Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions
Endler, Gregor	Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications
F
Fabisch, Alexander	Qualitative Comparison between Marker-Based and Video-Based Human Pose Estimation in the context of Imitation Learning
Furbach, Ulrich	Evaluating AI as Part of Social Mechanisms
G
Geißelsöder, Stefan	WaLo2D: Testbed for Multi-Agent Warehouse Logistics Reinforcement Learning Experiments
Gempel, Matthias	Multi-State PatchCore for Noisy Industrial Audio
Glimm, Birte	Do We Really Need Diffusion? A Fast U-Net for Paired Medical Image Translation
Goebel, Randy	Re-emerging scientific challenges of Artificial Intelligence
Gouvêa, Thiago S.	Improving WSSED Transfer to PAM via Multi-Species Augmentation
Gutzeit, Lisa	Qualitative Comparison between Marker-Based and Video-Based Human Pose Estimation in the context of Imitation Learning
H
Haas, Sophie	PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
Haufe, Cedric	From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement
Hoceini, Rihab	Quantum Temporal Convolution Network
Hofstedt, Petra	A Constraint-based Stockyard Planning Problem on a Realistic Time-Dependent Setting Integrating Insertion Heuristics into the Miller-Tucker-Zemlin Constraint Model for the Traveling Salesperson Problem
Hübner, Sebastian	A Comparison of Repositioning and Scheduling Algorithms for the Ride-Hailing Problem
Hülsdau, André	Trust as a Mediator of AI Acceptance in Insurance Advice
K
Karthikeyan, Subbaih	Hypergraph Provenance Causal Learning for APT Detection in the Internet of Medical Things
Kern-Isberner, Gabriele	c-Core Revision for Conditional Belief Bases
Kitzelmann, Emanuel	Constrained Entity Selection under Partial Knowledge for LLM-Based Knowledge Graph QA
Koenig, Sven	Prioritizing Conflicts in Conflict-Based Search with Disjoint Splitting
Kraus, Sebastian	Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications
L
Lapp, Julia	Code Generation for Open Data Statistics: Case Study on the Genesis Database
Lee, Jae Hee	Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions
Litz, Sandra	Efficient Time-Series Approximation with Linear Recurrent Neural Networks
Lutz, Simon	Comparison of the Runtime of two Algorithms for the Linear Decomposition of ReLU Networks
Lödige, Max	Qualitative Comparison between Marker-Based and Video-Based Human Pose Estimation in the context of Imitation Learning
Löffler, Sven	A Constraint-based Stockyard Planning Problem on a Realistic Time-Dependent Setting Integrating Insertion Heuristics into the Miller-Tucker-Zemlin Constraint Model for the Traveling Salesperson Problem
M
Mammadli, Novruz	Improving WSSED Transfer to PAM via Multi-Species Augmentation
Maucher, Johannes	Code Generation for Open Data Statistics: Case Study on the Genesis Database
Melan, Albrecht	Code Generation for Open Data Statistics: Case Study on the Genesis Database
Michael, Olivia	Efficient Time-Series Approximation with Linear Recurrent Neural Networks
Miroliaei, Shamim	Multi-State PatchCore for Noisy Industrial Audio
Mirzadeh, Simin	Multi-State PatchCore for Noisy Industrial Audio
Mohammadi, Farzan	Can We Predict LLM Reasoning Failures? Structural Predictability of Modal Inference Errors
Mossakowski, Till	Characteristics, Convergence and Divergence of Modular Semantics for Bipolar Weighted Argumentation Graphs
Mouratidis, Grigorios	Prioritizing Conflicts in Conflict-Based Search with Disjoint Splitting
Munk, Johannes	Multi-State PatchCore for Noisy Industrial Audio
Munz, Michael	Do We Really Need Diffusion? A Fast U-Net for Paired Medical Image Translation
Möller, Ralf	Evaluating AI as Part of Social Mechanisms
Müller, Emmanuel	Comparison of the Runtime of two Algorithms for the Linear Decomposition of ReLU Networks
N
Nebel, Bernhard	Prioritizing Conflicts in Conflict-Based Search with Disjoint Splitting
Nemitz, Paul	Innovation and Democracy in the Age of AI
Neuhaus, Fabian	Characteristics, Convergence and Divergence of Modular Semantics for Bipolar Weighted Argumentation Graphs
Noushinfar, Marjan	Toward Task-Sensitive Human-in-the-Loop AI-DSS: Configuring System Mechanisms for Advice Acceptance in Supply Chain and Manufacturing
Nuck, Tristan	Integrating Insertion Heuristics into the Miller-Tucker-Zemlin Constraint Model for the Traveling Salesperson Problem
O
Obst, Oliver	Efficient Time-Series Approximation with Linear Recurrent Neural Networks
P
Paul, Lauren	A Comparison of Repositioning and Scheduling Algorithms for the Ride-Hailing Problem
Pirwass, Alicia	Do We Really Need Diffusion? A Fast U-Net for Paired Medical Image Translation
Plump, Christina	A Comparison of Repositioning and Scheduling Algorithms for the Ride-Hailing Problem
Priyatharsan, Uthayanathan	Hypergraph Provenance Causal Learning for APT Detection in the Internet of Medical Things
Pukrop, Simon	PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
R
Radüntz, Thea	Comparison of the Runtime of two Algorithms for the Linear Decomposition of ReLU Networks
Rauch, Christopher	An Ontology-Grounded Representation for Defeasible Professional Ethics Analysis
Ruttmann, Julia	Learnable Fairness and Explainability in Social Combinatorial Optimization Achieving Fairness in Repeated Combinatorial Problems through Deep Reinforcement Learning
S
Saad, Christoph	WaLo2D: Testbed for Multi-Agent Warehouse Logistics Reinforcement Learning Experiments
Sarishvili, Alex	Do Flat Representation Manifolds lead to improved Accuracy?
Sauerwald, Kai	Tutorial: On writing research papers
Schiendorfer, Alexander	Achieving Fairness in Repeated Combinatorial Problems through Deep Reinforcement Learning
Schiesser, Lukas	PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
Schlagheck, Fabian	Reference-Free Automated Prompt Optimization for RAG-Based Microlearning Generation
Schlereth-Groh, Benedikt	Explainable-AI-Based Training for Relevance-based Robust Reinforcement Learning
Schmid, Ute	Multi-State PatchCore for Noisy Industrial Audio Explainable-AI-Based Training for Relevance-based Robust Reinforcement Learning
Schmidberger, Valentin	Code Generation for Open Data Statistics: Case Study on the Genesis Database
Schockaert, Steven	Geometric Representations of Relational Knowledge for Neuro-Symbolic Reasoning
Schutera, Mark	!Imperio, smolVLA: The Implications of Data Poisoning on Open Source Robotics
Schönherr, Lea	Can We Trust Generative AI? Understanding and Mitigating Threats in Today’s Machine Learning Systems
Shahrokhshahi, Fatemeh	Can We Predict LLM Reasoning Failures? Structural Predictability of Modal Inference Errors
Sigloch, Paul	Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains
Sonntag, Daniel	Improving WSSED Transfer to PAM via Multi-Species Augmentation
Spranger, Michael	The Role of Artificial Intelligence at Sony
Stappen, Lukas	Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications
Staudemeyer, Ralf C.	Successfully Defending Academic Integrity: an Ensemble Approach Towards Detecting Machine-generated Texts
Stoev, Teodor	A Hybrid Approach for Generating Planning Models from Texts
Stolzenburg, Frieder	Efficient Time-Series Approximation with Linear Recurrent Neural Networks From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement
T
Tavakoli Kolagari, Ramin	Explainable-AI-Based Training for Relevance-based Robust Reinforcement Learning
Tefke, Tobias	Successfully Defending Academic Integrity: an Ensemble Approach Towards Detecting Machine-generated Texts
V
Vitry, Thomas	Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions
W
Wermter, Stefan	Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions
Wilhelm, Marco	c-Core Revision for Conditional Belief Bases
Wilke, Hans-Joachim	Do We Really Need Diffusion? A Fast U-Net for Paired Medical Image Translation
Wolff, Cornelius	PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
Y
Yordanova, Kristina	A Hybrid Approach for Generating Planning Models from Texts
Yöndem, Sakir Furkan	Explainable-AI-Based Training for Relevance-based Robust Reinforcement Learning
Z
Zhang, Xuerui	Understanding Multimodal Interference through Local Preference Inconsistency
Zitzer, Alexej	Multi-State PatchCore for Noisy Industrial Audio

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