John Rachwan

20212022202320241 2 17 9

Bertrand CharpentierTechnical University of MunichVerified email at in.tum.de
Stephan GünnemannProfessor of Computer Science, Technical University of MunichVerified email at in.tum.de
Morgane AyleTechnical University of MunichVerified email at tum.de
Simon GeislerTechnical University of MunichVerified email at in.tum.de
Daniel ZügnerMicrosoft ResearchVerified email at microsoft.com
Xun WangCISPA Helmholtz Center for Information SecurityVerified email at cispa.de

John Rachwan

Master of Science in Data Engineering and Analytics, Technical University Munich

Verified email at tum.de


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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	21	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	6	2022
Structurally Prune Anything: Any Architecture, Any Framework, Any Time X Wang, J Rachwan, S Günnemann, B Charpentier arXiv preprint arXiv:2403.18955, 2024	1	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

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