| Robust chemical preservation of digital information on DNA in silica with error‐correcting codes RN Grass, R Heckel, M Puddu, D Paunescu, WJ Stark Angewandte Chemie International Edition 54 (8), 2552-2555, 2015 | 368 | 2015 |
| DiffuserCam: lensless single-exposure 3D imaging N Antipa, G Kuo, R Heckel, B Mildenhall, E Bostan, R Ng, L Waller Optica 5 (1), 1-9, 2018 | 244 | 2018 |
| Robust subspace clustering via thresholding R Heckel, H Bölcskei IEEE Transactions on Information Theory 61 (11), 6320-6342, 2015 | 160 | 2015 |
| Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks R Heckel, P Hand International Conference on Learning Representations (ICLR), 2019 | 117 | 2019 |
| A characterization of the DNA data storage channel R Heckel, G Mikutis, RN Grass Scientific reports 9 (1), 1-12, 2019 | 98 | 2019 |
| Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help R Heckel, NB Shah, K Ramchandran, MJ Wainwright Annals of Statistics; arXiv preprint arXiv:1606.08842, 2016 | 90* | 2016 |
| Super-resolution radar R Heckel, VI Morgenshtern, M Soltanolkotabi Information and Inference: A Journal of the IMA 5 (1), 22-75, 2016 | 77 | 2016 |
| Fundamental Limits of DNA Storage Systems R Heckel, I Shomorony, K Ramchandran, DNC Tse IEEE International Symposium on Information Theory (ISIT), 2017 | 70 | 2017 |
| Scalable and interpretable product recommendations via overlapping co-clustering R Heckel, M Vlachos, T Parnell, C Dünner IEEE International Conference on Data Engineering (ICDE), 1033-1044, 2017 | 61 | 2017 |
| Unsupervised learning with Stein's unbiased risk estimator CA Metzler, A Mousavi, R Heckel, RG Baraniuk arXiv preprint arXiv:1805.10531, 2018 | 45 | 2018 |
| Combining Data Longevity with High Storage Capacity—Layer‐by‐Layer DNA Encapsulated in Magnetic Nanoparticles WD Chen, AX Kohll, BH Nguyen, J Koch, R Heckel, WJ Stark, L Ceze, ... Advanced Functional Materials 29 (28), 1901672, 2019 | 36 | 2019 |
| Dimensionality-reduced subspace clustering R Heckel, M Tschannen, H Bölcskei Information and Inference: A Journal of the IMA 6 (3), 246-283, 2017 | 36 | 2017 |
| Generalized line spectral estimation via convex optimization R Heckel, M Soltanolkotabi IEEE Transactions on Information Theory 64 (6), 4001-4023, 2017 | 34 | 2017 |
| Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network E Bostan, R Heckel, M Chen, M Kellman, L Waller Optica 7 (6), 559-562, 2020 | 33 | 2020 |
| Reading and writing digital data in DNA LC Meiser, PL Antkowiak, J Koch, WD Chen, AX Kohll, WJ Stark, ... Nature protocols 15 (1), 86-101, 2020 | 33 | 2020 |
| Identification of sparse linear operators R Heckel, H Bolcskei IEEE Transactions on Information Theory 59 (12), 7985-8000, 2013 | 31 | 2013 |
| Capacity Results for the Noisy Shuffling Channel I Shomorony, R Heckel IEEE International Symposium on Information Theory (ISIT), 2019 | 29 | 2019 |
| Subspace clustering via thresholding and spectral clustering R Heckel, H Bölcskei IEEE International Conference on Acoustics, Speech and Signal Processing …, 2013 | 29 | 2013 |
| Rate-Optimal Denoising with Deep Neural Networks R Heckel, W Huang, P Hand, V Voroninski Information and Inference: A Journal of the IMA, 2020 | 28* | 2020 |
| Super-resolution MIMO radar R Heckel IEEE International Symposium on Information Theory (ISIT), 1416-1420, 2016 | 26 | 2016 |
Helmut BölcskeiProfessor of Mathematical Information Science, ETH ZurichVerified email at ethz.ch
