| 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 | 85 | 2021 |
| Measuring progress in dictionary learning for language model interpretability with board game models A Karvonen, B Wright, C Rager, R Angell, J Brinkmann, L Smith, ... NeurIPS 2024, 2024 | 44* | 2024 |
| Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate C Kümmerle, C Mayrink Verdun, D Stöger NeurIPS 2021, Spotlight, 2021 | 33* | 2021 |
| A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples C Kümmerle, C Mayrink Verdun ICML 2021, Spotlight, 2021 | 30 | 2021 |
| Get rid of your constraints and reparametrize: A study in NNLS and implicit bias HH Chou, J Maly, CM Verdun, BFP da Costa, H Mirandola AISTATS 2025, 2025 | 15* | 2025 |
| AI Alignment at Your Discretion M Buyl, H Khalaf, C Mayrink Verdun, LM Paes, CCV Machado, ... ACM FAccT 2025; Best Paper Award @ New England NLP Symposium, 2025 | 11 | 2025 |
| Soft Best-of-n Sampling for Model Alignment CM Verdun, A Oesterling, H Lakkaraju, FP Calmon arXiv preprint arXiv:2505.03156, 2025 | 8 | 2025 |
| Uncertainty Quantification For Learned ISTA F Hoppe, CM Verdun, H Laus, F Krahmer, H Rauhut MLSP 2023, IEEE Workshop on Machine Learning for Signal Processing, 1-6, 2023 | 7 | 2023 |
| Uncertainty quantification for sparse Fourier recovery F Hoppe, F Krahmer, CM Verdun, MI Menzel, H Rauhut arXiv preprint arXiv:2212.14864, 2022 | 7 | 2022 |
| Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method C Kümmerle, C Mayrink Verdun ICML 2020 - Workshop on "Beyond first-order methods in ML systems", 2020 | 7 | 2020 |
| Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence CM Verdun, O Melnyk, F Krahmer, P Jung COLT 2024, 2024 | 6 | 2024 |
| 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 | 6 | 2023 |
| High-Dimensional Confidence Regions in Sparse MRI F Hoppe, F Krahmer, CM Verdun, MI Menzel, H Rauhut ICASSP 2023, Best Student Paper Award, 2023 | 6 | 2023 |
| Group testing for SARS-CoV-2 allows for up to 10-fold efficiency increase across realistic scenarios and testing strategies. medRxiv 2020 CM Verdun, T Fuchs, P Harar, D Elbrächter, DS Fischer, J Berner, ... Gollier C, Gossner O. Group testing against Covid-19. Covid Economics, 2020 | 5 | 2020 |
| Completion of structured low-rank matrices via iteratively reweighted least squares C Kümmerle, CM Verdun SampTA 2019, 1-5, 2019 | 4 | 2019 |
| Inference-Time Reward Hacking in Large Language Models H Khalaf, CM Verdun, A Oesterling, H Lakkaraju, FP Calmon arXiv preprint arXiv:2506.19248, 2025 | 3 | 2025 |
| 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 ECCV 2024, 2024 | 3 | 2024 |
| 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 |
| ProofCompass: Enhancing Specialized Provers with LLM Guidance N Wischermann, CM Verdun, G Poesia, F Noseda arXiv preprint arXiv:2507.14335, 2025 | 2 | 2025 |
| Multi-Group Proportional Representation in Retrieval A Oesterling, C Mayrink Verdun, A Glynn, C Long, L Monteiro Paes, ... NeurIPS 2024, 2024 | 2 | 2024 |
Felix KrahmerAssociate Professor for Optimization and Data Analysis, Technische Universität MünchenVerified email at ma.tum.de
