Hannah Laus

According to our database, Hannah Laus authored at least 3 papers between 2023 and 2024.

Collaborative distances:

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

2024

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning.

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

CoRR, 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