Peter Súkeník
Graduate School
Mondelli Group
Lampert Group
3 Publications
2023 | Conference Paper | IST-REx-ID: 14921 | 
Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. 37th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, .
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2022 | Preprint | IST-REx-ID: 12662 |
Súkeník P, Lampert C. Generalization in Multi-objective machine learning. arXiv, 2208.13499.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 | Conference Paper | IST-REx-ID: 12664 |
Súkeník P, Kuvshinov A, Günnemann S. 2022. Intriguing properties of input-dependent randomized smoothing. Proceedings of the 39th International Conference on Machine Learning. International Conference on Machine Learning vol. 162, 20697–20743.
[Published Version]
View
| Files available
| arXiv
Search
Filter Publications
Display / Sort
Export / Embed
3 Publications
2023 | Conference Paper | IST-REx-ID: 14921 |
Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. 37th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, .
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2022 | Preprint | IST-REx-ID: 12662 |
Súkeník P, Lampert C. Generalization in Multi-objective machine learning. arXiv, 2208.13499.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 | Conference Paper | IST-REx-ID: 12664 |
Súkeník P, Kuvshinov A, Günnemann S. 2022. Intriguing properties of input-dependent randomized smoothing. Proceedings of the 39th International Conference on Machine Learning. International Conference on Machine Learning vol. 162, 20697–20743.
[Published Version]
View
| Files available
| arXiv