Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations. - Anna Hedström; Leander Weber; Dilyara Bareeva; Franz Motzkus; Wojciech Samek; Sebastian Lapuschkin; Marina M.-C. Höhne (CoRR, 2022)

Finding the right XAI method - A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science. - Philine Lou Bommer; Marlene Kretschmer; Anna Hedström; Dilyara Bareeva; Marina M.-C. Höhne (CoRR, 2023)

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond. - Anna Hedström; Leander Weber; Daniel Krakowczyk; Dilyara Bareeva; Franz Motzkus; Wojciech Samek; Sebastian Lapuschkin; Marina M.-C. Höhne (J. Mach. Learn. Res., 2023)

Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression. - Dilyara Bareeva; Maximilian Dreyer; Frederik Pahde; Wojciech Samek; Sebastian Lapuschkin (CVPR Workshops, 2024)

Manipulating Feature Visualizations with Gradient Slingshots. - Dilyara Bareeva; Marina M.-C. Höhne; Alexander Warnecke; Lukas Pirch; Klaus-Robert Müller; Konrad Rieck; Kirill Bykov (CoRR, 2024)

Quanda: An Interpretability Toolkit for Training Data Attribution Evaluation and Beyond. - Dilyara Bareeva; Galip Ümit Yolcu; Anna Hedström; Niklas Schmolenski; Thomas Wiegand 001; Wojciech Samek; Sebastian Lapuschkin (CoRR, 2024)

Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers. - Johanna Vielhaben; Dilyara Bareeva; Jim Berend; Wojciech Samek; Nils Strodthoff (CoRR, 2024)