| Blind demixing and deconvolution at near-optimal rate P Jung, F Krahmer, D Stöger IEEE Transactions on Information Theory 64 (2), 704-727, 2017 | 37 | 2017 |
| On the convex geometry of blind deconvolution and matrix completion F Krahmer, D Stöger Communications on Pure and Applied Mathematics 74 (4), 790-832, 2021 | 12 | 2021 |
| Blind deconvolution and compressed sensing D Stöger, P Jung, F Krahmer 2016 4th International Workshop on Compressed Sensing Theory and its …, 2016 | 10 | 2016 |
| Sparse Power Factorization: Balancing peakiness and sample complexity J Geppert, F Krahmer, D Stöger Advances in Computational Mathematics 45 (3), 1711-1728, 2019 | 6 | 2019 |
| Refined performance guarantees for sparse power factorization JA Geppert, F Krahmer, D Stöger 2017 International Conference on Sampling Theory and Applications (SampTA …, 2017 | 6 | 2017 |
| Blind demixing and deconvolution with noisy data: Near-optimal rate D Stöger, P Jung, F Krahmer WSA 2017; 21th International ITG Workshop on Smart Antennas, 1-5, 2017 | 5 | 2017 |
| Blind Demixing and Deconvolution with Noisy Data: Near-optimal Rate P Jung, F Krahmer, D Stoeger WSA 2017; 21th International ITG Workshop on Smart Antennas; Proceedings of, 1-5, 2017 | 5* | 2017 |
| Complex phase retrieval from subgaussian measurements F Krahmer, D Stöger Journal of Fourier Analysis and Applications 26 (6), 1-27, 2020 | 3 | 2020 |
| Rigidity for perimeter inequality under spherical symmetrisation F Cagnetti, M Perugini, D Stöger Calculus of Variations and Partial Differential Equations 59 (4), 1-53, 2020 | 3 | 2020 |
| Understanding overparameterization in generative adversarial networks Y Balaji, M Sajedi, NM Kalibhat, M Ding, D Stöger, M Soltanolkotabi, ... International Conference on Learning Representations 1, 2021 | 2 | 2021 |
| Blind Deconvolution: Convex Geometry and Noise Robustness F Krahmer, D Stöger 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 643-646, 2018 | 1 | 2018 |
| Sparse power factorization with refined peakiness conditions D Stöger, J Geppert, F Krahmer 2018 IEEE Statistical Signal Processing Workshop (SSP), 816-820, 2018 | 1 | 2018 |
| Iteratively Reweighted Least Squares for -minimization with Global Linear Convergence Rate C Kümmerle, CM Verdun, D Stöger arXiv preprint arXiv:2012.12250, 2020 | | 2020 |
| Bilinear Compressed Sensing D Stöger Technische Universität München, 2019 | | 2019 |
Felix KrahmerAssistant Professor for Optimization and Data Analysis, Technische Universität MünchenVerified email at ma.tum.de
