Publikationen

Utilizing SBOM for Transparent AI Risk Communication

Helmer, Lennard; Fink, Lisa; Poretschkin, Maximilian, 2025

Veröffentlicht in: Proceedings of the AAAI Symposium Series

Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models

Hinz, Manuel; Mauel, Maximilian; Seifner, Patrick; Berghaus, David; Cvejoski, Kostadin; Sanchez, Ramses, 2025

Veröffentlicht in: AI in Science Summit 2025

The Practical Impacts of Theoretical Constructs on Empathy Modeling

Lahnala, Allison; Welch, Charles; Jurgens, David; Flek, Lucie, 2025

Towards Foundation Inference Models that Learn ODEs In-Context

Mauel, Maximilian; Hinz, Manuel; Seifner, Patrick; Berghaus, David; Sanchez, Ramses, 2025

Veröffentlicht in: AI in Science Summit 2025

Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking

Pätzold, Bastian; Nogga, Jan; Behnke, Sven, 2025

Veröffentlicht in: {IEEE} Robotics and Automation Letters

Revisiting Pruning vs Quantization for Small Language Models

Zhou, Zihan; Kurz, Simon; Zhao, Zhixue, 2025

Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning

Straat, Michiel; Markmann, Thorben; Peitz, Sebastian; Hammer, Barbara, 2025

Veröffentlicht in: arxiv

Remote Autonomy for Multiple Small Lowcost {UAVs} in {GNSS}-denied Search and Rescue Operations

Schleich, Daniel; Quenzel, Jan; Behnke, Sven, 2025

{IKnow}: Instruction-Knowledge-Aware Continual Pretraining for Effective Domain Adaptation

Zhang, Tianyi; Mai, Florian; Flek, Lucie, 2025

Veröffentlicht in: arXiv

Foveated Compression for Immersive Telepresence Visualization

Schwarz, Max; Behnke, Sven, 2025