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Maximilian Dreyer
Maximilian Dreyer
Adresse e-mail validée de hhi.fraunhofer.de
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From attribution maps to human-understandable explanations through concept relevance propagation
R Achtibat, M Dreyer, I Eisenbraun, S Bosse, T Wiegand, W Samek, ...
Nature Machine Intelligence 5 (9), 1006-1019, 2023
68*2023
Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
F Pahde, M Dreyer, W Samek, S Lapuschkin
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 …, 2023
102023
ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs
D Becking, M Dreyer, W Samek, K Müller, S Lapuschkin
International Workshop on Extending Explainable AI Beyond Deep Models and …, 2022
102022
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
M Dreyer, R Achtibat, T Wiegand, W Samek, S Lapuschkin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
72023
Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
M Dreyer, R Achtibat, W Samek, S Lapuschkin
arXiv preprint arXiv:2311.16681, 2023
42023
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
M Dreyer, F Pahde, CJ Anders, W Samek, S Lapuschkin
Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21046 …, 2024
12024
AttnLRP: Attention-aware Layer-wise Relevance Propagation for Transformers
R Achtibat, SMV Hatefi, M Dreyer, A Jain, T Wiegand, S Lapuschkin, ...
arXiv preprint arXiv:2402.05602, 2024
12024
Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification
C Tinauer, A Damulina, M Sackl, M Soellradl, R Achtibat, M Dreyer, ...
arXiv preprint arXiv:2404.10433, 2024
2024
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
D Bareeva, M Dreyer, F Pahde, W Samek, S Lapuschkin
arXiv preprint arXiv:2404.09601, 2024
2024
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits
M Dreyer, E Purelku, J Vielhaben, W Samek, S Lapuschkin
arXiv preprint arXiv:2404.06453, 2024
2024
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