| 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 | 67 | 2021 |
| 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 | 22* | 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 | 17 | 2021 |
| Uncertainty quantification for sparse Fourier recovery F Hoppe, F Krahmer, CM Verdun, MI Menzel, H Rauhut arXiv preprint arXiv:2212.14864, 2022 | 5 | 2022 |
| Non-negative Least Squares via Overparametrization HH Chou, J Maly, CM Verdun arXiv preprint arXiv:2207.08437, 2022 | 5 | 2022 |
| 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 | 5 | 2020 |
| Uncertainty Quantification For Learned ISTA F Hoppe, CM Verdun, H Laus, F Krahmer, H Rauhut 2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023 | 4 | 2023 |
| 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 | 4 | 2023 |
| 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 | 4 | 2019 |
| 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 | 3 | 2021 |
| In Vivo Myelin Water Quantification Using Diffusion–Relaxation Correlation MRI: A Comparison of 1D and 2D Methods DKJMIM Sebastian Endt, Maria Engel, Emanuele Naldi, Rodolfo Assereto ... Applied Magnetic Resonance 54, 1571–1588, 2023 | 2 | 2023 |
| Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence CM Verdun, O Melnyk, F Krahmer, P Jung The Thirty Seventh Annual Conference on Learning Theory, 3823-3872, 2024 | 1 | 2024 |
| Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models A Karvonen, B Wright, C Rager, R Angell, J Brinkmann, LR Smith, ... ICML 2024 Workshop on Mechanistic Interpretability, 2024 | 1 | 2024 |
| Sampling Strategies for Compressive Imaging Under Statistical Noise F Hoppe, F Krahmer, CM Verdun, MI Menzel, H Rauhut 2023 International Conference on Sampling Theory and Applications (SampTA), 1-5, 2023 | 1 | 2023 |
| Denoising and completion of structured low-rank matrices via iteratively reweighted least squares C Kümmerle, CM Verdun arXiv preprint arXiv:1811.07472, 2018 | 1 | 2018 |
| With or Without Replacement? Improving Confidence in Fourier Imaging F Hoppe, CM Verdun, F Krahmer, MI Menzel, H Rauhut arXiv preprint arXiv:2407.13575, 2024 | | 2024 |
| Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning F Hoppe, CM Verdun, H Laus, F Krahmer, H Rauhut arXiv preprint arXiv:2407.13666, 2024 | | 2024 |
| Multi-Group Proportional Representation A Oesterling, CM Verdun, CX Long, A Glynn, LM Paes, S Vithana, ... arXiv preprint arXiv:2407.08571, 2024 | | 2024 |
| 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 |
Felix KrahmerAssociate Professor for Optimization and Data Analysis, Technische Universität MünchenVerified email at ma.tum.de