Peter Súkeník

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Matrix Completion

Non Rigid Structure From Motion

Multiobjective Evolutionary Algorithm

Top Venues

Publications

Peter Súkeník, Marco Mondelli, Christoph Lampert
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal? CoRR (2024)
Daniel Beaglehole, Peter Súkeník, Marco Mondelli, Mikhail Belkin
Average gradient outer product as a mechanism for deep neural collapse. CoRR (2024)
Peter Súkeník, Marco Mondelli, Christoph H. Lampert
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model. NeurIPS (2023)
Peter Súkeník, Marco Mondelli, Christoph Lampert
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model. CoRR (2023)
Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. NeurIPS (2022)
Peter Súkeník, Christoph H. Lampert
Generalization In Multi-Objective Machine Learning. CoRR (2022)
Peter Súkeník, Aleksei Kuvshinov, Stephan Günnemann
Intriguing Properties of Input-Dependent Randomized Smoothing. ICML (2022)
Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. CoRR (2022)
Peter Súkeník, Aleksei Kuvshinov, Stephan Günnemann
Intriguing Properties of Input-dependent Randomized Smoothing. CoRR (2021)