Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
114 Publications
2023 | Conference Paper | IST-REx-ID: 13053 | 
Peste, Elena-Alexandra, et al. “CrAM: A Compression-Aware Minimizer.” 11th International Conference on Learning Representations .
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2023 | Thesis | IST-REx-ID: 13074 |
Peste, Elena-Alexandra. Efficiency and Generalization of Sparse Neural Networks. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13074.
[Published Version]
View
| Files available
| DOI
2023 | Journal Article | IST-REx-ID: 14320 |
Henderson, Paul M., et al. “Deep Learning Extraction of Band Structure Parameters from Density of States: A Case Study on Trilayer Graphene.” Physical Review B, vol. 108, no. 12, 125411, American Physical Society, 2023, doi:10.1103/physrevb.108.125411.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2023 | Conference Paper | IST-REx-ID: 14410
Tomaszewska, Paulina, and Christoph Lampert. “On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) under Class-Prior Shift.” International Workshop on Reproducible Research in Pattern Recognition, vol. 14068, Springer Nature, 2023, pp. 67–73, doi:10.1007/978-3-031-40773-4_6.
View
| DOI
2023 | Journal Article | IST-REx-ID: 14446 |
Jakubík, Jozef, et al. “Against the Flow of Time with Multi-Output Models.” Measurement Science Review, vol. 23, no. 4, Sciendo, 2023, pp. 175–83, doi:10.2478/msr-2023-0023.
[Published Version]
View
| Files available
| DOI
2023 | Conference Paper | IST-REx-ID: 14771 |
Iofinova, Eugenia B., et al. “Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures.” 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2023, pp. 24364–73, doi:10.1109/cvpr52729.2023.02334.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2023 | Conference Paper | IST-REx-ID: 14921 |
Súkeník, Peter, et al. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” 37th Annual Conference on Neural Information Processing Systems.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2023 | Preprint | IST-REx-ID: 15039 |
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
| DOI
| Download Preprint (ext.)
| arXiv
2022 | Preprint | IST-REx-ID: 12660 |
Scott, Jonathan A., et al. “Cross-Client Label Propagation for Transductive Federated Learning.” ArXiv, 2210.06434, doi:10.48550/arXiv.2210.06434.
[Preprint]
View
| Files available
| DOI
| arXiv
2022 | Preprint | IST-REx-ID: 12662 |
Súkeník, Peter, and Christoph Lampert. “Generalization in Multi-Objective Machine Learning.” ArXiv, 2208.13499, doi:10.48550/arXiv.2208.13499.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv