Bernd Rosenow

According to our database, Bernd Rosenow authored at least 9 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2023

Reevaluating Loss Functions: Enhancing Robustness to Label Noise in Deep Learning Models.

Max Staats, Matthias Thamm, Bernd Rosenow

CoRR, 2023

Correlated Noise in Epoch-Based Stochastic Gradient Descent: Implications for Weight Variances.

Marcel Kühn, Bernd Rosenow

CoRR, 2023

Topological gap protocol based machine learning optimization of Majorana hybrid wires.

Matthias Thamm, Bernd Rosenow

CoRR, 2023

Online Learning for the Random Feature Model in the Student-Teacher Framework.

Roman Worschech, Bernd Rosenow

CoRR, 2023

2022

Machine learning optimization of Majorana hybrid nanowires.

Matthias Thamm, Bernd Rosenow

CoRR, 2022

Boundary between noise and information applied to filtering neural network weight matrices.

Max Staats, Matthias Thamm, Bernd Rosenow

CoRR, 2022

Random matrix analysis of deep neural network weight matrices.

Matthias Thamm, Max Staats, Bernd Rosenow

CoRR, 2022

2021

Soft Mode in the Dynamics of Over-realizable On-line Learning for Soft Committee Machines.

Frederieke Richert, Roman Worschech, Bernd Rosenow

CoRR, 2021

2004

Smooth Correlation Estimation with Application to Portfolio Credit Risk.

Rafael Weißbach, Bernd Rosenow

Proceedings of the Classification, 2004