Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet. - Yannic Neuhaus; Maximilian Augustin; Valentyn Boreiko; Matthias Hein 001 (ICCV, 2023)

Analyzing and Explaining Image Classifiers via Diffusion Guidance. - Maximilian Augustin; Yannic Neuhaus; Matthias Hein 001 (CoRR, 2023)

DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactual Explanations. - Maximilian Augustin; Yannic Neuhaus; Matthias Hein 001 (CVPR, 2024)

DASH: Detection and Assessment of Systematic Hallucinations of VLMs. - Maximilian Augustin; Yannic Neuhaus; Matthias Hein 001 (CoRR, 2025)

RePOPE: Impact of Annotation Errors on the POPE Benchmark. - Yannic Neuhaus; Matthias Hein 001 (CoRR, 2025)