Christopher J. Anders
Christopher J. Anders
Machine Learning Group, Technische Universität Berlin
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
arXiv preprint arXiv:1906.07983, 2019
1012019
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
622021
Toward interpretable machine learning: Transparent deep neural networks and beyond
W Samek, G Montavon, S Lapuschkin, CJ Anders, KR Müller
arXiv e-prints, arXiv: 2003.07631, 2020
612020
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
19*2019
Fairwashing explanations with off-manifold detergent
CJ Anders, P Pasliev, AK Dombrowski, KR Müller, P Kessel
Thirty-seventh International Conference on Machine Learning, 2020
142020
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
112021
Analyzing imagenet with spectral relevance analysis: Towards imagenet un-hans’ ed
CJ Anders, T Marinč, D Neumann, W Samek, KR Müller, S Lapuschkin
CoRR, 2019
82019
Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond. arXiv 2020
W Samek, G Montavon, S Lapuschkin, CJ Anders, KR Müller
arXiv preprint arXiv:2003.07631, 0
6
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
Information Fusion 77, 261-295, 2022
42022
Towards robust explanations for deep neural networks
AK Dombrowski, CJ Anders, KR Müller, P Kessel
Pattern Recognition 121, 108194, 2022
22022
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy
CJ Anders, D Neumann, W Samek, KR Müller, S Lapuschkin
arXiv preprint arXiv:2106.13200, 2021
22021
Explanations can be manipulated and geometry is to blame Open Website
AK Dombrowski, M Alber, CJ Anders, M Ackermann, KR Muller, P Kessel
Towards robust explanations for deep neural networks Open Website
AK Dombrowski, CJ Anders, KR Muller, P Kessel
REGULAR PAPERS ISSUE
C She, C Sun, Z Gu, Y Li, C Yang, HV Poor, B Vucetic, W Samek, ...
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