Uncertainty Quantification For Learned ISTA. - Frederik Hoppe; Claudio Mayrink Verdun; Hannah Laus; Felix Krahmer; Holger Rauhut (MLSP, 2023)

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 (ECCV (78), 2024)

Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning. - Frederik Hoppe; Claudio Mayrink Verdun; Hannah Laus; Felix Krahmer; Holger Rauhut (NeurIPS, 2024)

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, 2025)