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Moritz Boehle
Moritz Boehle
Bestätigte E-Mail-Adresse bei mpi-inf.mpg.de
Titel
Zitiert von
Zitiert von
Jahr
Layer-wise relevance propagation for explaining deep neural network decisions in MRI-based Alzheimer's disease classification
M Böhle, F Eitel, M Weygandt, K Ritter
Frontiers in aging neuroscience 11, 194, 2019
2492019
Memory-induced acceleration and slowdown of barrier crossing
J Kappler, JO Daldrop, FN Brünig, MD Boehle, RR Netz
The Journal of Chemical Physics 148 (1), 2018
552018
B-cos networks: Alignment is all we need for interpretability
M Böhle, M Fritz, B Schiele
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
542022
Convolutional dynamic alignment networks for interpretable classifications
M Bohle, M Fritz, B Schiele
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
502021
Towards better understanding attribution methods
S Rao, M Böhle, B Schiele
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
352022
Temperature schedules for self-supervised contrastive methods on long-tail data
A Kukleva, M Böhle, B Schiele, H Kuehne, C Rupprecht
arXiv preprint arXiv:2303.13664, 2023
262023
Holistically explainable vision transformers
M Böhle, M Fritz, B Schiele
arXiv preprint arXiv:2301.08669, 2023
112023
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers
M Böhle, N Singh, M Fritz, B Schiele
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
62024
Visualizing evidence for Alzheimer’s disease in deep neural networks trained on structural MRI data
M Böhle, F Eitel, M Weygandt, K Ritter
arXiv preprint arXiv:1903.07317, 2019
62019
Using explanations to guide models
S Rao, M Böhle, A Parchami-Araghi, B Schiele
arXiv preprint arXiv:2303.11932, 2023
42023
Optimising for interpretability: Convolutional dynamic alignment networks
M Böhle, M Fritz, B Schiele
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
22022
Studying How to Efficiently and Effectively Guide Models with Explanations
S Rao, M Böhle, A Parchami-Araghi, B Schiele
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation
A Parchami-Araghi, M Böhle, S Rao, B Schiele
arXiv preprint arXiv:2402.03119, 2024
2024
Better Understanding Differences in Attribution Methods via Systematic Evaluations
S Rao, M Böhle, B Schiele
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
2024
Towards Better Understanding Attribution Methods Supplementary Material
S Rao, M Böhle, B Schiele
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