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Bernd Rosenow

According to our database1, Bernd Rosenow authored at least 15 papers between 2004 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Boundary-Layer Mechanism for One-Third Scaling in Online Softmax Classification.
[BibTeX]
[DOI]
Marcel Kühn
,
Yoon Thelge
,
Bernd Rosenow
CoRR, May, 2026

2025
Anti-correlated noise in epoch-based stochastic gradient descent: implications for weight variances in flat directions.
[BibTeX]
[DOI]
Marcel Kühn
,
Bernd Rosenow
Mach. Learn. Sci. Technol., 2025

Small Singular Values Matter: A Random Matrix Analysis of Transformer Models.
[BibTeX]
[DOI]
Max Staats
,
Matthias Thamm
,
Bernd Rosenow
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra.
[BibTeX]
[DOI]
Roman Worschech
,
Bernd Rosenow
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning.
[BibTeX]
[DOI]
Max Staats
,
Matthias Thamm
,
Bernd Rosenow
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Locating Information in Large Language Models via Random Matrix Theory.
[BibTeX]
[DOI]
Max Staats
,
Matthias Thamm
,
Bernd Rosenow
CoRR, 2024

2023
Reevaluating Loss Functions: Enhancing Robustness to Label Noise in Deep Learning Models.
[BibTeX]
[DOI]
Max Staats
,
Matthias Thamm
,
Bernd Rosenow
CoRR, 2023

Correlated Noise in Epoch-Based Stochastic Gradient Descent: Implications for Weight Variances.
[BibTeX]
[DOI]
Marcel Kühn
,
Bernd Rosenow
CoRR, 2023

Topological gap protocol based machine learning optimization of Majorana hybrid wires.
[BibTeX]
[DOI]
Matthias Thamm
,
Bernd Rosenow
CoRR, 2023

Online Learning for the Random Feature Model in the Student-Teacher Framework.
[BibTeX]
[DOI]
Roman Worschech
,
Bernd Rosenow
CoRR, 2023

2022
Machine learning optimization of Majorana hybrid nanowires.
[BibTeX]
[DOI]
Matthias Thamm
,
Bernd Rosenow
CoRR, 2022

Boundary between noise and information applied to filtering neural network weight matrices.
[BibTeX]
[DOI]
Max Staats
,
Matthias Thamm
,
Bernd Rosenow
CoRR, 2022

Random matrix analysis of deep neural network weight matrices.
[BibTeX]
[DOI]
Matthias Thamm
,
Max Staats
,
Bernd Rosenow
CoRR, 2022

2021
Soft Mode in the Dynamics of Over-realizable On-line Learning for Soft Committee Machines.
[BibTeX]
[DOI]
Frederieke Richert
,
Roman Worschech
,
Bernd Rosenow
CoRR, 2021

2004
Smooth Correlation Estimation with Application to Portfolio Credit Risk.
[BibTeX]
[DOI]
Rafael Weißbach
,
Bernd Rosenow
Proceedings of the Classification, 2004


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