Winning the lottery ahead of time: Efficient early network pruning J Rachwan, D Zügner, B Charpentier, S Geisler, M Ayle, S Günnemann International Conference on Machine Learning, 18293-18309, 2022 | 26 | 2022 |
On the Robustness and Anomaly Detection of Sparse Neural Networks M Ayle, B Charpentier, J Rachwan, D Zügner, S Geisler, S Günnemann Sparsity in Neural Networks Workshop, 2022 | 5 | 2022 |
Structurally Prune Anything: Any Architecture, Any Framework, Any Time X Wang, J Rachwan, S Günnemann, B Charpentier arXiv preprint arXiv:2403.18955, 2024 | 3 | 2024 |
Blockchain-Enabled Verification System J Rachwan, P Chodyko Artificial Intelligence for Cyber Security: Methods, Issues and Possible …, 2021 | 1 | 2021 |
3D Labeling Tool J Rachwan, Z Charbel BMW Group / Holy Spirit University of Kaslik, 2019 | 1 | 2019 |