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Bernd Rosenow
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Conference and Workshop Papers
- 2004
- [c1]Rafael Weißbach, Bernd Rosenow:
Smooth Correlation Estimation with Application to Portfolio Credit Risk. GfKl 2004: 474-481
Informal and Other Publications
- 2023
- [i8]Roman Worschech, Bernd Rosenow:
Online Learning for the Random Feature Model in the Student-Teacher Framework. CoRR abs/2303.14083 (2023) - [i7]Matthias Thamm, Bernd Rosenow:
Topological gap protocol based machine learning optimization of Majorana hybrid wires. CoRR abs/2305.16230 (2023) - [i6]Marcel Kühn, Bernd Rosenow:
Correlated Noise in Epoch-Based Stochastic Gradient Descent: Implications for Weight Variances. CoRR abs/2306.05300 (2023) - [i5]Max Staats, Matthias Thamm, Bernd Rosenow:
Reevaluating Loss Functions: Enhancing Robustness to Label Noise in Deep Learning Models. CoRR abs/2306.05497 (2023) - 2022
- [i4]Matthias Thamm, Max Staats, Bernd Rosenow:
Random matrix analysis of deep neural network weight matrices. CoRR abs/2203.14661 (2022) - [i3]Max Staats, Matthias Thamm, Bernd Rosenow:
Boundary between noise and information applied to filtering neural network weight matrices. CoRR abs/2206.03927 (2022) - [i2]Matthias Thamm, Bernd Rosenow:
Machine learning optimization of Majorana hybrid nanowires. CoRR abs/2208.02182 (2022) - 2021
- [i1]Frederieke Richert, Roman Worschech, Bernd Rosenow:
Soft Mode in the Dynamics of Over-realizable On-line Learning for Soft Committee Machines. CoRR abs/2104.14546 (2021)
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