| 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 | 101 | 2020 |
| Multi-kernel prediction networks for denoising of burst images T Marinč, V Srinivasan, S Gül, C Hellge, W Samek 2019 IEEE International Conference on Image Processing (ICIP), 2404-2408, 2019 | 36 | 2019 |
| Deepcabac: Context-adaptive binary arithmetic coding for deep neural network compression S Wiedemann, H Kirchhoffer, S Matlage, P Haase, A Marban, T Marinc, ... arXiv preprint arXiv:1905.08318, 2019 | 21 | 2019 |
| Analyzing imagenet with spectral relevance analysis: Towards imagenet un-hans’ ed CJ Anders, T Marinc, D Neumann, W Samek, KR Müller, S Lapuschkin arXiv preprint arXiv:1912.11425 2 (3), 2019 | 13 | 2019 |
| Dependent scalar quantization for neural network compression P Haase, H Schwarz, H Kirchhoffer, S Wiedemann, T Marinc, A Marban, ... 2020 IEEE International Conference on Image Processing (ICIP), 36-40, 2020 | 10 | 2020 |
| XAI for analyzing and unlearning spurious correlations in ImageNet CJ Anders, D Neumann, T Marinc, W Samek, KR Müller, S Lapuschkin Proceedings of the 2020 ICML Workshop on Extending Explainable AI Beyond …, 2020 | 5 | 2020 |
| Methods and apparatuses for compressing parameters of neural networks P Haase, AM GONZALEZ, H Kirchhoffer, T Marinc, D Marpe, S Matlage, ... US Patent App. 17/478,676, 2022 | 1 | 2022 |
| Concept for a representation of neural network parameters S Wiedemann, T Marinc, W Samek, P Haase, K Müller, H Kirchhoffer, ... US Patent App. 18/046,406, 2023 | | 2023 |
| A Virtualized Video Surveillance System for Public Transportation T Marinč, S Gül, C Hellge, P Schüßler, T Riegel, P Amon Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | | 2020 |
