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Ann-Kathrin Dombrowski
Ann-Kathrin Dombrowski
Verified email at tu-berlin.de
Title
Cited by
Cited by
Year
Explanations can be manipulated and geometry is to blame
AK Dombrowski, M Alber, CJ Anders, M Ackermann, KR Müller, P Kessel
Advances in Neural Information Processing Systems 32 (2019): 13589-13600., 2019
3102019
Fairwashing explanations with off-manifold detergent
C Anders, P Pasliev, AK Dombrowski, KR Müller, P Kessel
International Conference on Machine Learning, 314-323, 2020
892020
Towards robust explanations for deep neural networks
AK Dombrowski, CJ Anders, KR Müller, P Kessel
Pattern Recognition 121, 108194, 2022
592022
CNN cascades for segmenting sparse objects in gigapixel whole slide images
M Gadermayr, AK Dombrowski, BM Klinkhammer, P Boor, D Merhof
Computerized Medical Imaging and Graphics 71, 40-48, 2019
582019
Representation engineering: A top-down approach to ai transparency
A Zou, L Phan, S Chen, J Campbell, P Guo, R Ren, A Pan, X Yin, ...
arXiv preprint arXiv:2310.01405, 2023
562023
CNN cascades for segmenting whole slide images of the kidney
M Gadermayr, AK Dombrowski, BM Klinkhammer, P Boor, D Merhof
arXiv preprint arXiv:1708.00251, 2017
282017
Diffeomorphic explanations with normalizing flows
AK Dombrowski, JE Gerken, P Kessel
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021
142021
Cnn cascades for segmenting whole slide images of the kidney. arxiv 2017
M Gadermayr, AK Dombrowski, BM Klinkhammer, P Boor, D Merhof
arXiv preprint arXiv:1708.00251 2, 0
7
Representation Engineering: A Top-Down Approach to AI Transparency, October 2023
A Zou, L Phan, S Chen, J Campbell, P Guo, R Ren, A Pan, X Yin, ...
URL http://arxiv. org/abs/2310.01405, 0
6
Diffeomorphic counterfactuals with generative models
AK Dombrowski, JE Gerken, KR Müller, P Kessel
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
52023
CNN cascades for segmenting whole slide images of the kidney. CoRR
M Gadermayr, AK Dombrowski, BM Klinkhammer, P Boor, D Merhof
42017
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
N Li, A Pan, A Gopal, S Yue, D Berrios, A Gatti, JD Li, AK Dombrowski, ...
arXiv preprint arXiv:2403.03218, 2024
12024
A geometrical perspective on explanations for deep neural networks
AK Dombrowski
Technische Universität Berlin, 2023
2023
Automated Dissipation Control for Turbulence Simulation with Shell Models
AK Dombrowski, KR Müller, WC Müller
arXiv preprint arXiv:2201.02485, 2022
2022
Deformation measurement from atomic-resolution images using geometric phase analysis
AK Dombrowski
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Articles 1–15