The full proceedings can be found at DOI:10.1007/978-3-032-32335-4

The following lists the accepted papers ordered by paper IDs. See the schedule for a categorization by sub-areas.

• A Constraint-based Stockyard Planning Problem on a Realistic Time-Dependent Setting by Viktoria Abbenhaus, Sven Löffler and Petra Hofstedt
• Comparison of the Runtime of two Algorithms for the Linear Decomposition of ReLU Networks by Arn Dietz, Simon Lutz, Martin Brenzke, Thea Radüntz and Emmanuel Müller
• Integrating Insertion Heuristics into the Miller-Tucker-Zemlin Constraint Model for the Traveling Salesperson Problem by Sven Löffler, Tristan Nuck, Viktoria Abbenhaus and Petra Hofstedt
• SIL-RRT*: Learning Sampling Distribution through Self Imitation Learning by Xuzhe Dang and Stefan Edelkamp
• Do Flat Representation Manifolds lead to improved Accuracy? by Julia Burr and Alex Sarishvili
• Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications by Gregor Endler, Sebastian Kraus and Lukas Stappen (Best Poster election award winner)
• Achieving Fairness in Repeated Combinatorial Problems through Deep Reinforcement Learning by Julia Ruttmann and Alexander Schiendorfer
• From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement by Cedric Haufe and Frieder Stolzenburg
• Qualitative Comparison between Marker-Based and Video-Based Human Pose Estimation in the context of Imitation Learning by Max Lödige, Lisa Gutzeit and Alexander Fabisch
• Successfully Defending Academic Integrity: an Ensemble Approach Towards Detecting Machine-generated Texts by Tobias Tefke and Ralf C. Staudemeyer
• Improving WSSED Transfer to PAM via Multi-Species Augmentation by Novruz Mammadli, Thiago S. Gouvêa and Daniel Sonntag
• AI and E-Learning: On the importance of explainable AI in Digital Ecosystems in Research and Education by Claudia-Melania Chituc.
• !Imperio, smolVLA: The Implications of Data Poisoning on Open Source Robotics by Stefan Bühler and Mark Schutera
• Prioritizing Conflicts in Conflict-Based Search with Disjoint Splitting by Grigorios Mouratidis, Bernhard Nebel and Sven Koenig.
• A Hybrid Approach for Generating Planning Models from Texts by Teodor Stoev and Kristina Yordanova.
• Multi-State PatchCore for Noisy Industrial Audio by Simin Mirzadeh, Shamim Miroliaei, Alexej Zitzer, Johannes Munk, Matthias Gempel and Ute Schmid
• WaLo2D: Testbed for Multi-Agent Warehouse Logistics Reinforcement Learning Experiments by Christoph Saad and Stefan Geißelsöder
• Can We Predict LLM Reasoning Failures? Structural Predictability of Modal Inference Errors by Fatemeh Shahrokhshahi and Farzan Mohammadi
• Explainable-AI-Based Training for Relevance-based Robust Reinforcement Learning by Benedikt Schlereth-Groh, Sakir Furkan Yöndem, Ramin Tavakoli Kolagari and Ute Schmid
• Bias Leaves a Gradient Trail: Label-Free Bias Identification via Gradient Probes on Concept Decompositions by Thomas Vitry, Kieran Edgeworth, Jae Hee Lee and Stefan Wermter. (Springer Best Paper Award winner)
• Constrained Entity Selection under Partial Knowledge for LLM-Based Knowledge Graph QA by Emanuel Kitzelmann
• Code Generation for Open Data Statistics: Case Study on the Genesis Database by Valentin Schmidberger, Julia Lapp, Albrecht Melan and Johannes Maucher
• PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers by Lukas Schiesser, Cornelius Wolff, Sophie Haas and Simon Pukrop
• Evaluating AI as Part of Social Mechanisms by Susanne Draheim, Ulrich Furbach and Ralf Möller.
• Do We Really Need Diffusion? A Fast U-Net for Paired Medical Image Translation by Alicia Pirwass, Birte Glimm, Michael Munz and Hans-Joachim Wilke
• Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains by Paul Sigloch and Christoph Benzmüller
• A Comparison of Repositioning and Scheduling Algorithms for the Ride-Hailing Problem by Sebastian Hübner, Lauren Paul, Christina Plump, Bernhard J. Berger and Rolf Drechsler
• GDR: Stabilizing Vision–Language–Action Training via Gradient Decoupling and Routing by Zhaozhi Wang, Chengmin Yang, Lian Wen and Xiaobo Liu
• An Ontology-Grounded Representation for Defeasible Professional Ethics Analysis by Christopher Rauch
• An Approach to Relevance-Sensitive Multiple Iterated Revision of Total Preorders by Alexander Hahn and Gabriele Kern-Isberner
• Characteristics, Convergence and Divergence of Modular Semantics for Bipolar Weighted Argumentation Graphs by Till Mossakowski and Fabian Neuhaus
• Efficient Time-Series Approximation with Linear Recurrent Neural Networks by Frieder Stolzenburg, Sandra Litz, Olivia Michael and Oliver Obst
• c-Core Revision for Conditional Belief Bases by Marco Wilhelm and Gabriele Kern-Isberner
• Quantum Temporal Convolution Network by Rihab Hoceini and Ahmed Bouida