| Reed–Muller codes achieve capacity on erasure channels S Kudekar, S Kumar, M Mondelli, HD Pfister, E Şaşoǧlu, RL Urbanke IEEE Transactions on information theory 63 (7), 4298-4316, 2017 | 112* | 2017 |
| Unified scaling of polar codes: Error exponent, scaling exponent, moderate deviations, and error floors M Mondelli, SH Hassani, RL Urbanke IEEE Transactions on Information Theory 62 (12), 6698-6712, 2016 | 104 | 2016 |
| From polar to Reed-Muller codes: A technique to improve the finite-length performance M Mondelli, SH Hassani, RL Urbanke IEEE Transactions on Communications 62 (9), 3084-3091, 2014 | 87 | 2014 |
| How to achieve the capacity of asymmetric channels M Mondelli, SH Hassani, RL Urbanke IEEE Transactions on Information Theory 64 (5), 3371-3393, 2018 | 76* | 2018 |
| Achieving Marton’s region for broadcast channels using polar codes M Mondelli, SH Hassani, I Sason, RL Urbanke IEEE Transactions on Information Theory 61 (2), 783-800, 2014 | 76 | 2014 |
| Fundamental limits of weak recovery with applications to phase retrieval M Mondelli, A Montanari Conference On Learning Theory, 1445-1450, 2018 | 72 | 2018 |
| Construction of polar codes with sublinear complexity M Mondelli, SH Hassani, RL Urbanke IEEE Transactions on Information Theory 65 (5), 2782-2791, 2018 | 41 | 2018 |
| Scaling exponent of list decoders with applications to polar codes M Mondelli, SH Hassani, RL Urbanke IEEE Transactions on Information Theory 61 (9), 4838-4851, 2015 | 38 | 2015 |
| On the decoding of polar codes on permuted factor graphs N Doan, SA Hashemi, M Mondelli, WJ Gross 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 36 | 2018 |
| Decoder partitioning: Towards practical list decoding of polar codes SA Hashemi, M Mondelli, SH Hassani, C Condo, RL Urbanke, WJ Gross IEEE Transactions on Communications 66 (9), 3749-3759, 2018 | 36 | 2018 |
| On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition M Mondelli, A Montanari 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 35 | 2019 |
| Binary linear codes with optimal scaling: Polar codes with large kernels A Fazeli, H Hassani, M Mondelli, A Vardy IEEE Transactions on Information Theory, 2020 | 34* | 2020 |
| Analysis of a two-layer neural network via displacement convexity A Javanmard, M Mondelli, A Montanari arXiv preprint arXiv:1901.01375, 2019 | 23 | 2019 |
| Decoding reed-muller and polar codes by successive factor graph permutations SA Hashemi, N Doan, M Mondelli, WJ Gross 2018 IEEE 10th International Symposium on Turbo Codes & Iterative …, 2018 | 23 | 2018 |
| Partitioned list decoding of polar codes: Analysis and improvement of finite length performance SA Hashemi, M Mondelli, SH Hassani, R Urbanke, WJ Gross GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-7, 2017 | 23 | 2017 |
| Comparing the bit-MAP and block-MAP decoding thresholds of Reed-Muller codes on BMS channels S Kudekar, S Kumar, M Mondelli, HD Pfister, R Urbankez 2016 IEEE International Symposium on Information Theory (ISIT), 1755-1759, 2016 | 18 | 2016 |
| Joint power allocation and path selection for multi-hop noncoherent decode and forward UWB communications M Mondelli, Q Zhou, V Lottici, X Ma IEEE Transactions on Wireless Communications 13 (3), 1397-1409, 2014 | 11 | 2014 |
| Capacity-achieving rate-compatible polar codes for general channels M Mondelli, SH Hassani, I Maric, D Hui, SN Hong 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW …, 2017 | 9 | 2017 |
| A cooperative approach for amplify-and-forward differential transmitted reference IR-UWB relay systems M Mondelli, Q Zhou, X Ma, V Lottici 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 9 | 2012 |
| Rate-flexible fast polar decoders SA Hashemi, C Condo, M Mondelli, WJ Gross IEEE Transactions on Signal Processing 67 (22), 5689-5701, 2019 | 8 | 2019 |
Ruediger UrbankeEPFLVerified email at epfl.ch
