Hannah Laus

According to our database, Hannah Laus authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay.

Hannah Laus, Suzanna Parkinson, Vasileios Charisopoulos, Felix Krahmer, Rebecca Willett

CoRR, February, 2025

2024

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images.

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Uncertainty Quantification For Learned ISTA.

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023