Matthias Thamm

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Locating Information in Large Language Models via Random Matrix Theory.

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

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[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

2022

Machine learning optimization of Majorana hybrid nanowires.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Random matrix analysis of deep neural network weight matrices.

[BibT_eX]

[DOI]