NoiseGrad - Enhancing Explanations by Introducing Stochasticity to Model Weights. - Kirill Bykov; Anna Hedström; Shinichi Nakajima; Marina M.-C. Höhne (AAAI, 2022)

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)

The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. - Anna Hedström; Philine Lou Bommer; Kristoffer Knutsen Wickstrøm; Wojciech Samek; Sebastian Lapuschkin; Marina M.-C. Höhne (Trans. Mach. Learn. Res., 2023)

From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation. - Kristoffer Wickstrøm; Marina M.-C. Höhne; Anna Hedström (ECCV Workshops (21), 2024)

Explainable AI in grassland monitoring: Enhancing model performance and domain adaptability. - Shanghua Liu; Anna Hedström; Deepak Hanike Basavegowda; Cornelia Weltzien; Marina M.-C. Höhne (GIL, 2024)

CoSy: Evaluating Textual Explanations of Neurons. - Laura Kopf; Philine Lou Bommer; Anna Hedström; Sebastian Lapuschkin; Marina M.-C. Höhne; Kirill Bykov (NeurIPS, 2024)

A Fresh Look at Sanity Checks for Saliency Maps. - Anna Hedström; Leander Weber; Sebastian Lapuschkin; Marina M.-C. Höhne (xAI (1), 2024)

Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test. - Anna Hedström; Leander Weber; Sebastian Lapuschkin; Marina M.-C. Höhne (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)

Benchmarking XAI Explanations with Human-Aligned Evaluations. - Rémi Kazmierczak; Steve Azzolin; Eloïse Berthier; Anna Hedström; Patricia Delhomme; Nicolas Bousquet 001; Goran Frehse; Massimiliano Mancini; Baptiste Caramiaux; Andrea Passerini; Gianni Franchi (CoRR, 2024)

Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution. - Carlos Eiras-Franco; Anna Hedström; Marina M.-C. Höhne (AAAI, 2025)

Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions. - Anna Hedström; Philine Lou Bommer; Thomas F. Burns; Sebastian Lapuschkin; Wojciech Samek; Marina M.-C. Höhne (Trans. Mach. Learn. Res., 2025)

Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework. - Laura Kopf; Nils Feldhus; Kirill Bykov; Philine Lou Bommer; Anna Hedström; Marina M.-C. Höhne; Oliver Eberle (CoRR, 2025)