Christopher J. Anders
Christopher J. Anders
Machine Learning Group, Technische Universität Berlin
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Cited by
Cited by
Explanations can be manipulated and geometry is to blame
AK Dombrowski, M Alber, CJ Anders, M Ackermann, KR Müller, P Kessel
arXiv preprint arXiv:1906.07983, 2019
Toward interpretable machine learning: Transparent deep neural networks and beyond
W Samek, G Montavon, S Lapuschkin, CJ Anders, KR Müller
arXiv preprint arXiv:2003.07631, 2020
Understanding patch-based learning of video data by explaining predictions
CJ Anders, G Montavon, W Samek, KR Müller
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 297-309, 2019
Explaining deep neural networks and beyond: A review of methods and applications
W Samek, G Montavon, S Lapuschkin, CJ Anders, KR Müller
Proceedings of the IEEE 109 (3), 247-278, 2021
Fairwashing explanations with off-manifold detergent
CJ Anders, P Pasliev, AK Dombrowski, KR Müller, P Kessel
Thirty-seventh International Conference on Machine Learning, 2020
Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models
KA Nicoli, CJ Anders, L Funcke, T Hartung, K Jansen, P Kessel, ...
Physical review letters 126 (3), 032001, 2021
Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans' ed
CJ Anders, T Marinč, D Neumann, W Samek, KR Müller, S Lapuschkin
arXiv preprint arXiv:1912.11425, 2019
Finding and removing clever hans: Using explanation methods to debug and improve deep models
CJ Anders, L Weber, D Neumann, W Samek, KR Müller, S Lapuschkin
Towards Robust Explanations for Deep Neural Networks
AK Dombrowski, CJ Anders, KR Müller, P Kessel
arXiv preprint arXiv:2012.10425, 2020
C She, C Sun, Z Gu, Y Li, C Yang, HV Poor, B Vucetic, W Samek, ...
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