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David Neumann
David Neumann
Research Associate, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI
Verified email at hhi.fraunhofer.de - Homepage
Title
Cited by
Cited by
Year
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
1012022
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
1012020
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
622021
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
332020
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
202019
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
132019
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
112020
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
52020
A Privacy Preserving System for Movie Recommendations Using Federated Learning
D Neumann, A Lutz, K Müller, W Samek
ACM Transactions on Recommender Systems, 2023
32023
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