Matthias Thamm

According to our database, Matthias Thamm authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning.

Max Staats, Matthias Thamm, Bernd Rosenow

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Locating Information in Large Language Models via Random Matrix Theory.

Max Staats, Matthias Thamm, Bernd Rosenow

CoRR, 2024

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