Müller, Klaus-Robert

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

Binder, A., Weber, L., Lapuschkin, S., Montavon, G., Müller, K.-R., & Samek, W. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 21

Towards Robust Foundation Models for Digital Pathology

Kömen, J., de Jong, E. D., Hense, J., Marienwald, H., Dippel, J., Naumann, P., Marcus, E., Ruff, L., Alber, M., Teuwen, J., et al. (2025) · arXiv

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 10

AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark

Becker, S., Vielhaben, J., Ackermann, M., Müller, K.-R., Lapuschkin, S., & Samek, W. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Music and Audio Processing

Cited by 7