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Peter Súkeník
Peter Súkeník
PhD. student, Institute of Science and Technology, Austria
Verified email at trojsten.sk
Title
Cited by
Cited by
Year
Intriguing Properties of Input-dependent Randomized Smoothing
P Súkeník, A Kuvshinov, S Günnemann
Proceedings of the 39th International Conference on Machine Learning, PMLR …, 2021
162021
Deep neural collapse is provably optimal for the deep unconstrained features model
P Súkeník, M Mondelli, CH Lampert
Advances in Neural Information Processing Systems 36, 2024
62024
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
P Kocsis, P Súkeník, G Brasó, M Nießner, L Leal-Taixé, I Elezi
Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022
32022
Generalization in multi-objective machine learning
P Súkeník, CH Lampert
arXiv preprint arXiv:2208.13499, 2022
32022
Average gradient outer product as a mechanism for deep neural collapse
D Beaglehole, P Súkeník, M Mondelli, M Belkin
arXiv preprint arXiv:2402.13728, 2024
2024
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