Follow
Claudio Mayrink Verdun
Claudio Mayrink Verdun
Verified email at ma.tum.de
Title
Cited by
Cited by
Year
Group testing for SARS-CoV-2 allows for up to 10-fold efficiency increase across realistic scenarios and testing strategies
CM Verdun, T Fuchs, P Harar, D Elbrächter, DS Fischer, J Berner, ...
Front. Public Health 9, 1205, 2021
602021
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
C Kümmerle, C Mayrink Verdun, D Stöger
Advances in Neural Information Processing Systems 34, 2873-2886, 2021
13*2021
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
C Kümmerle, CM Verdun
International Conference on Machine Learning, 5872-5883, 2021
132021
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method
C Kümmerle, CM Verdun
Workshop on "Beyond first-order methods in ML systems" at the 37th …, 2020
42020
Completion of structured low-rank matrices via iteratively reweighted least squares
C Kümmerle, CM Verdun
2019 13th International conference on Sampling Theory and Applications …, 2019
42019
Uncertainty quantification for sparse Fourier recovery
F Hoppe, F Krahmer, CM Verdun, MI Menzel, H Rauhut
arXiv preprint arXiv:2212.14864, 2022
32022
Non-negative Least Squares via Overparametrization
HH Chou, J Maly, CM Verdun
arXiv preprint arXiv:2207.08437, 2022
32022
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
12023
Unmixing tissue compartments via deep learning T1-T2-relaxation correlation imaging
S Endt, CM Pirkl, CM Verdun, BH Menze, MI Menzel
17th International Symposium on Medical Information Processing and Analysis …, 2021
12021
Denoising and completion of structured low-rank matrices via iteratively reweighted least squares
C Kümmerle, CM Verdun
arXiv preprint arXiv:1811.07472, 2018
12018
Uncertainty quantification for learned ISTA
F Hoppe, CM Verdun, F Krahmer, H Laus, H Rauhut
arXiv preprint arXiv:2309.07982, 2023
2023
In-vivo myelin water quantification using diffusion-relaxation correlation MRI: a comparison of 1D and 2D methods
S Endt, M Engel, E Naldi, R Assereto, M Molendowska, L Müller, ...
2023
Sampling strategies for compressive imaging under statistical noise
F Hoppe, F Krahmer, CM Verdun, M Menzel, H Rauhut
Fourteenth International Conference on Sampling Theory and Applications, 2023
2023
A deep-learning approach to accelerated T1-T2-relaxation-correlation imaging
MIM Sebastian Endt, Carolin M. Pirkl, Claudio M. Verdun, Bjoern H. Menze
European Society for Magnetic Resonance in Medicine and Biology (ESMRMB …, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–14