Bernd Prach

5 Publications

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[5]
2025 | Published | Thesis | IST-REx-ID: 19759 | OA
Prach, Bernd. Robust Image Classification with 1-Lipschitz Networks. Institute of Science and Technology Austria, 2025, doi:10.15479/10.15479/at-ista-19759.
[Published Version] View | Files available | DOI
 
[4]
2024 | Published | Conference Paper | IST-REx-ID: 17426 | OA
Prach, Bernd, et al. “1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Computer Vision Foundation, 2024, pp. 24574–83, doi:10.1109/CVPR52733.2024.02320.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2024 | Draft | Preprint | IST-REx-ID: 18874 | OA
Prach, Bernd, and Christoph Lampert. “Intriguing Properties of Robust Classification.” ArXiv, 2412.04245, doi:10.48550/arXiv.2412.04245.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[2]
2023 | Draft | Preprint | IST-REx-ID: 15039 | OA
Prach, Bernd, and Christoph Lampert. “1-Lipschitz Neural Networks Are More Expressive with N-Activations.” ArXiv, 2311.06103, doi:10.48550/ARXIV.2311.06103.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Prach, Bernd, and Christoph Lampert. “Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks.” Computer Vision – ECCV 2022, vol. 13681, Springer Nature, 2022, pp. 350–65, doi:10.1007/978-3-031-19803-8_21.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
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5 Publications

Mark all

[5]
2025 | Published | Thesis | IST-REx-ID: 19759 | OA
Prach, Bernd. Robust Image Classification with 1-Lipschitz Networks. Institute of Science and Technology Austria, 2025, doi:10.15479/10.15479/at-ista-19759.
[Published Version] View | Files available | DOI
 
[4]
2024 | Published | Conference Paper | IST-REx-ID: 17426 | OA
Prach, Bernd, et al. “1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Computer Vision Foundation, 2024, pp. 24574–83, doi:10.1109/CVPR52733.2024.02320.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2024 | Draft | Preprint | IST-REx-ID: 18874 | OA
Prach, Bernd, and Christoph Lampert. “Intriguing Properties of Robust Classification.” ArXiv, 2412.04245, doi:10.48550/arXiv.2412.04245.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[2]
2023 | Draft | Preprint | IST-REx-ID: 15039 | OA
Prach, Bernd, and Christoph Lampert. “1-Lipschitz Neural Networks Are More Expressive with N-Activations.” ArXiv, 2311.06103, doi:10.48550/ARXIV.2311.06103.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
Prach, Bernd, and Christoph Lampert. “Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks.” Computer Vision – ECCV 2022, vol. 13681, Springer Nature, 2022, pp. 350–65, doi:10.1007/978-3-031-19803-8_21.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
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