Towards interactive coordination of heterogeneous robotic teams - Introduction of a reoptimization framework. - Esther Bischoff; Jonas Teufel; Jairo Inga; Sören Hohmann (SMC, 2021)

Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies. - Jonas Teufel; Luca Torresi; Pascal Friederich (xAI (2), 2023)

MEGAN: Multi-explanation Graph Attention Network. - Jonas Teufel; Luca Torresi; Patrick Reiser; Pascal Friederich (xAI (2), 2023)

Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI. - Hunter Sturm; Jonas Teufel; Kaitlin A. Isfeld; Pascal Friederich; Rebecca L. Davis (CoRR, 2023)

Global Concept Explanations for Graphs by Contrastive Learning. - Jonas Teufel; Pascal Friederich (xAI (1), 2024)

opXRD: Open Experimental Powder X-ray Diffraction Database. - Daniel Hollarek; Henrik Schopmans; Jona Östreicher; Jonas Teufel; Bin Cao; Adie Alwen; Simon Schweidler; Mriganka Singh; Tim Kodalle; Hanlin Hu; Gregoire Heymans; Maged Abdelsamie; et al. (CoRR, 2025)

Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification. - Jonas Teufel; Annika Leinweber; Pascal Friederich (CoRR, 2025)