Peter Súkeník
Graduate School
Mondelli Group
Lampert Group
6 Publications
2024 | Epub ahead of print | Journal Article | IST-REx-ID: 12662 | 
Súkeník P, Lampert C. 2024. Generalization in multi-objective machine learning. Neural Computing and Applications.
[Published Version]
View
| DOI
| Download Published Version (ext.)
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18890 |
Beaglehole D, Súkeník P, Mondelli M, Belkin M. 2024. Average gradient outer product as a mechanism for deep neural collapse. 38th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18891 |
Súkeník P, Lampert C, Mondelli M. 2024. Neural collapse versus low-rank bias: Is deep neural collapse really optimal? 38th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.
[Published Version]
View
| Files available
2023 | Published | Conference Paper | IST-REx-ID: 14921 |
Súkeník P, Mondelli M, Lampert C. 2023. 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 | Published | Conference Paper | IST-REx-ID: 18876 |
Kocsis, Peter, The unreasonable effectiveness of fully-connected layers for low-data regimes. 36th Conference on Neural Information Processing Systems 35. 2022
[Published Version]
View
| Files available
| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12664 |
Súkeník, Peter, Intriguing properties of input-dependent randomized smoothing. Proceedings of the 39th International Conference on Machine Learning 162. 2022
[Published Version]
View
| Files available
| arXiv
Search
Filter Publications
Display / Sort
Export / Embed
Grants
6 Publications
2024 | Epub ahead of print | Journal Article | IST-REx-ID: 12662 |
Súkeník P, Lampert C. 2024. Generalization in multi-objective machine learning. Neural Computing and Applications.
[Published Version]
View
| DOI
| Download Published Version (ext.)
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18890 |
Beaglehole D, Súkeník P, Mondelli M, Belkin M. 2024. Average gradient outer product as a mechanism for deep neural collapse. 38th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18891 |
Súkeník P, Lampert C, Mondelli M. 2024. Neural collapse versus low-rank bias: Is deep neural collapse really optimal? 38th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.
[Published Version]
View
| Files available
2023 | Published | Conference Paper | IST-REx-ID: 14921 |
Súkeník P, Mondelli M, Lampert C. 2023. 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 | Published | Conference Paper | IST-REx-ID: 18876 |
Kocsis, Peter, The unreasonable effectiveness of fully-connected layers for low-data regimes. 36th Conference on Neural Information Processing Systems 35. 2022
[Published Version]
View
| Files available
| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12664 |
Súkeník, Peter, Intriguing properties of input-dependent randomized smoothing. Proceedings of the 39th International Conference on Machine Learning 162. 2022
[Published Version]
View
| Files available
| arXiv