Research output per year
Research output per year
Search results
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2022
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images
Mahbod, A., Entezari, R., Ellinger, I. & Saukh, O., 15 Jun 2022.Research output: Working paper › Preprint
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OSF: An Open-Source Framework for Synchronous Flooding over Multiple Physical Layers
Baddeley, M., Gyl, Y., Schuß, M., Ma, X. & Boano, C. A., 26 Aug 2022, (arXiv Computer Science > Networking and Internet Architecture; no. arXiv:2208.12850).Research output: Working paper › Preprint
Open Access -
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Jordan, K., Sedghi, H., Saukh, O., Entezari, R. & Neyshabur, B., 14 Dec 2022.Research output: Working paper › Preprint
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Studying the impact of magnitude pruning on contrastive learning methods
Corti, F., Entezari, R., Bacciu, D., Hooker, S. & Saukh, O., 1 Jul 2022, arXiv, p. 1-10, 10 p.Research output: Working paper › Preprint
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Towards Digital Twin-enabled DevOps for CPS providing Architecture-Based Service Adaptation & Verification at Runtime
Dobaj, J., Riel, A., Krug, T., Seidl, M., Macher, G. & Egretzberger, M., 2022.Research output: Working paper › Preprint
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2021
Problems with Risk Matrices Using Ordinal Scales
Krisper, M., 7 Mar 2021, 11 p. (arXiv.org e-Print archive).Research output: Working paper › Preprint
Open AccessFile -
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Entezari, R., Sedghi, H., Saukh, O. & Neyshabur, B., 12 Oct 2021, arXiv, 24 p.Research output: Working paper › Preprint
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Understanding the effect of sparsity on neural networks robustness
Timpl, L., Entezari, R., Sedghi, H., Neyshabur, B. & Saukh, O., 24 Jul 2021.Research output: Working paper › Preprint
Open Access -
2020
Class-dependent Compression of Deep Neural Networks
Entezari, R. & Saukh, O., 19 Apr 2020.Research output: Working paper › Preprint