Peter Súkeník

According to our database1, Peter Súkeník authored at least 9 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers.
CoRR, May, 2025

Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?
CoRR, 2024

Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Average gradient outer product as a mechanism for deep neural collapse.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Generalization In Multi-Objective Machine Learning.
CoRR, 2022

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Intriguing Properties of Input-Dependent Randomized Smoothing.
Proceedings of the International Conference on Machine Learning, 2022


  Loading...