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ORCIDKI 2026: Bremen, Germany
- Diedrich Wolter
, Gesina Schwalbe:
KI 2026: Advances in Artificial Intelligence - 49th German Conference on AI, KI 2026, Bremen, Germany, August 11-14, 2026, Proceedings. Lecture Notes in Computer Science 16830, Springer 2027, ISBN 978-3-032-32334-7
Full Papers
- Viktoria Abbenhaus, Sven Löffler, Petra Hofstedt:
A Constraint-Based Stockyard Planning Problem on a Realistic Time-Dependent Setting. 3-16 - Stefan Buehler, Mark Schutera:
!Imperio, smolVLA: The Implications of Data Poisoning on Open Source Robotics. 17-28 - Xuzhe Dang, Stefan Edelkamp:
SIL-RRT*: Learning Sampling Distribution Through Self Imitation Learning. 29-42 - Sven Löffler, Tristan Mark Nuck, Viktoria Abbenhaus, Petra Hofstedt:
Integrating Insertion Heuristics into the Miller-Tucker-Zemlin Constraint Model for the Traveling Salesman Problem. 43-56 - Simin Mirzadeh, Shamim Miroliaei, Alexej Zitzer, Johannes Munk, Matthias W. Gempel, Ute Schmid:
Multi-state PatchCore for Noisy Industrial Audio. 57-71 - Grigorios Mouratidis, Bernhard Nebel, Sven Koenig:
Prioritizing Conflicts in Conflict-Based Search with Disjoint Splitting. 72-84 - Till Mossakowski, Fabian Neuhaus:
Characteristics, Convergence and Divergence of Modular Semantics for Bipolar Weighted Argumentation Graphs. 85-100 - Alicia Pirwass, Birte Glimm, Michael Munz, Hans-Joachim Wilke:
Do We Really Need Diffusion? A Fast U-Net for Paired Medical Image Translation. 101-116 - Julia Ruttmann, Alexander Schiendorfer:
Achieving Fairness in Repeated Combinatorial Problems Through Deep Reinforcement Learning. 117-132 - Valentin Schmidberger, Julia Lapp, Albrecht Melan, Johannes Maucher:
Code Generation for Open Data Statistics: Case Study on the Genesis Database. 133-147 - Tobias Tefke, Ralf C. Staudemeyer:
Successfully Defending Academic Integrity: An Ensemble Approach Towards Detecting Machine-Generated Texts. 148-165 - Thomas Vitry, Kieran von Valeburg, Stefan Wermter, Jae Hee Lee:
Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions. 166-181 - Marco Wilhelm, Gabriele Kern-Isberner:
c-Core Revision for Conditional Belief Bases. 182-196
Technical Communications
- Julia Burr, Alex Sarishvili:
Do Flat Representation Manifolds Lead to Improved Accuracy? 199-205 - Claudia-Melania Chituc:
Explainable Artificial Intelligence in Digital Ecosystems in Research and Education. 206-213 - Arn Dietz, Simon Lutz, Martin Brenzke, Thea Radüntz, Emmanuel Müller:
Comparison of the Runtime of Two Algorithms for the Linear Decomposition of ReLU Networks. 214-220 - Susanne Draheim, Ulrich Furbach, Ralf Möller:
Evaluating AI as Part of Social Mechanisms. 221-227 - Gregor Endler, Sebastian Kraus, Lukas Stappen:
Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications. 228-235 - Cedric Haufe, Frieder Stolzenburg:
From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement. 236-243 - Rihab Hoceini, Ahmed Bouida:
Quantum Temporal Convolution Network. 244-251 - Emanuel Kitzelmann:
Constrained Entity Selection Under Partial Knowledge for LLM-Based Knowledge Graph QA. 252-259 - Max Lödige, Alexander Fabisch, Lisa Gutzeit:
Qualitative Comparison Between Marker-Based and Video-Based Human Pose Estimation in the Context of Imitation Learning. 260-268 - Novruz Mammadli, Thiago S. Gouvêa, Daniel Sonntag:
Multi-species Mixing for Weakly Supervised SED Under Domain Shift. 269-276 - Lauren Paul, Sebastian Hübner, Christina Plump, Bernhard J. Berger, Rolf Drechsler:
A Comparison of Repositioning and Scheduling Algorithms for the Ride-Hailing Problem. 277-284 - Christopher B. Rauch:
An Ontology-Grounded Representation for Defeasible Professional Ethics Analysis. 285-291 - Christoph Saad, Stefan Geißelsöder:
WaLo2D: Testbed for Multi-agent Warehouse Logistics Reinforcement Learning Experiments. 292-299 - Lukas Schiesser, Cornelius Wolff, Sophie Haas, Simon Pukrop:
PictSure: Pretraining Embeddings Matters for In-context Learning Image Classifiers. 300-308 - Benedikt Schlereth-Groh, Sakir Furkan Yöndem, Ramin Tavakoli Kolagari, Ute Schmid:
Explainable-AI-Based Training for Relevance-Based Robust Reinforcement Learning. 309-316 - Fatemeh Shahrokhshahi, Farzan Mohammadi:
Can We Predict LLM Reasoning Failures? Structural Predictability of Modal and Conditional Inference Errors. 317-323 - Paul Sigloch, Christoph Benzmüller:
Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains. 324-331 - Teodor Stoev, Kristina Yordanova:
A Hybrid Approach for Generating Planning Models from Texts. 332-340
Extended Abstracts
- Frieder Stolzenburg, Sandra Litz, Olivia Michael, Oliver Obst:
Efficient Time-Series Approximation with Linear Recurrent Neural Networks. 343-346
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