Matthias Thamm

According to our database, Matthias Thamm authored at least 5 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of seven.
• Erdős number of seven.

2023

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

Max Staats, Matthias Thamm, Bernd Rosenow

CoRR, 2023

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

Matthias Thamm, 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