Peter Súkeník

Graduate School
Mondelli Group
Lampert Group

3 Publications

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[3]
2023 | Conference Paper | IST-REx-ID: 14921 | OA
Deep neural collapse is provably optimal for the deep unconstrained features model
P. Súkeník, M. Mondelli, C. Lampert, in:, 37th Annual Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[2]
2022 | Preprint | IST-REx-ID: 12662 | OA
Generalization in Multi-objective machine learning
P. Súkeník, C. Lampert, ArXiv (n.d.).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Conference Paper | IST-REx-ID: 12664 | OA
Intriguing properties of input-dependent randomized smoothing
P. Súkeník, A. Kuvshinov, S. Günnemann, in:, Proceedings of the 39th International Conference on Machine Learning, ML Research Press, 2022, pp. 20697–20743.
[Published Version] View | Files available | arXiv
 
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3 Publications

Mark all

[3]
2023 | Conference Paper | IST-REx-ID: 14921 | OA
Deep neural collapse is provably optimal for the deep unconstrained features model
P. Súkeník, M. Mondelli, C. Lampert, in:, 37th Annual Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[2]
2022 | Preprint | IST-REx-ID: 12662 | OA
Generalization in Multi-objective machine learning
P. Súkeník, C. Lampert, ArXiv (n.d.).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Conference Paper | IST-REx-ID: 12664 | OA
Intriguing properties of input-dependent randomized smoothing
P. Súkeník, A. Kuvshinov, S. Günnemann, in:, Proceedings of the 39th International Conference on Machine Learning, ML Research Press, 2022, pp. 20697–20743.
[Published Version] View | Files available | arXiv
 
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