[go: up one dir, main page]

Follow
Frederik Hoppe
Frederik Hoppe
Verified email at mathc.rwth-aachen.de
Title
Cited by
Cited by
Year
Uncertainty Quantification For Learned ISTA
F Hoppe, C Mayrink Verdun, H Laus, F Krahmer, H Rauhut
2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023
72023
Uncertainty quantification for sparse Fourier recovery
F Hoppe, F Krahmer, C Mayrink Verdun, MI Menzel, H Rauhut
arXiv preprint arXiv:2212.14864, 2022
72022
High-Dimensional Confidence Regions in Sparse MRI
F Hoppe, F Krahmer, CM Verdun, MI Menzel, H Rauhut
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
62023
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
F Hoppe, CM Verdun, H Laus, S Endt, MI Menzel, F Krahmer, H Rauhut
Proceedings of European Conference on Computer Vision (ECCV), 2024
32024
SAMPLING STRATEGIES FOR COMPRESSIVE IMAGING UNDER STATISTICAL NOISE
F Hoppe, F Krahmer, CM Verdun, MI Menzel, H Rauhut
Fourteenth International Conference on Sampling Theory and Applications, 0
2*
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
F Hoppe, C Mayrink Verdun, H Laus, F Krahmer, H Rauhut
Advances in Neural Information Processing Systems 37, 122524-122555, 2025
12025
Generating Synthetic Relational Tabular Data via Structural Causal Models
F Hoppe, A Franz, L Kleinemeier, U Göbel
The 4th Table Representation Learning Workshop at ACL 2025, 0
1*
Comparing Task-Agnostic Embedding Models for Tabular Data
F Hoppe, L Kleinemeier, A Franz, U Göbel
arXiv preprint arXiv:2511.14276, 2025
2025
Universal Embeddings of Tabular Data
A Franz, F Hoppe, M Michaelis, U Göbel
Proceedings of the VLDB Endowment. ISSN 2150, 8097, 2025
2025
With or Without Replacement? Improving Confidence in Fourier Imaging
F Hoppe, CM Verdun, F Krahmer, MI Menzel, H Rauhut
2024 International Workshop on the Theory of Computational Sensing and its …, 2024
2024
Supplementary Material to Paper:" Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
F Hoppe, CM Verdun, H Laus, S Endt, MI Menzel, F Krahmer, H Rauhut
The system can't perform the operation now. Try again later.
Articles 1–11