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 (C), 261-295, 2022 | 113 | 2022 |
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks S Wiedemann, H Kirchhoffer, S Matlage, P Haase, A Marban, T Marinč, ... IEEE Journal of Selected Topics in Signal Processing 14 (4), 700-714, 2020 | 106 | 2020 |
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 | 67 | 2021 |
Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements F Sattler, J Ma, P Wagner, D Neumann, M Wenzel, R Schäfer, W Samek, ... NPJ digital medicine 3 (1), 129, 2020 | 33 | 2020 |
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression S Wiedemann, H Kirchhoffer, S Matlage, P Haase, A Marban, T Marinč, ... ICML 2019 Joint Workshop on On-Device Machine Learning & Compact Deep Neural …, 2019 | 22 | 2019 |
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 | 13 | 2019 |
DeepCABAC: Plug & Play Compression of Neural Network Weights and Weight Updates D Neumann, F Sattler, H Kirchhoffer, S Wiedemann, K Müller, H Schwarz, ... 2020 IEEE International Conference on Image Processing (ICIP), 21-25, 2020 | 11 | 2020 |
XAI for Analyzing and Unlearning Spurious Correlations in ImageNet CJ Anders, D Neumann, T Marina, W Samek, KR Müller, S Lapuschkin XXAI ICML 2020 Workshop, 2020 | 6 | 2020 |
A Privacy Preserving System for Movie Recommendations Using Federated Learning D Neumann, A Lutz, K Müller, W Samek ACM Transactions on Recommender Systems, 2023 | 3 | 2023 |