Marco Mondelli
Marco Mondelli
Assistant Professor, IST Austria
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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
132*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
1142016
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
1012014
Fundamental limits of weak recovery with applications to phase retrieval
M Mondelli, A Montanari
Conference On Learning Theory, 1445-1450, 2018
812018
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
812014
How to achieve the capacity of asymmetric channels
M Mondelli, SH Hassani, RL Urbanke
IEEE Transactions on Information Theory 64 (5), 3371-3393, 2018
80*2018
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
512018
Construction of polar codes with sublinear complexity
M Mondelli, SH Hassani, RL Urbanke
IEEE Transactions on Information Theory 65 (5), 2782-2791, 2018
492018
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
432018
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
422015
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
40*2020
On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition
M Mondelli, A Montanari
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019
392019
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
332018
Analysis of a two-layer neural network via displacement convexity
A Javanmard, M Mondelli, A Montanari
The Annals of Statistics 48 (6), 3619-3642, 2020
322020
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
262017
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
202016
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks
A Shevchenko, M Mondelli
International Conference on Machine Learning (ICML), 2020, 2020
132020
Rate-flexible fast polar decoders
SA Hashemi, C Condo, M Mondelli, WJ Gross
IEEE Transactions on Signal Processing 67 (22), 5689-5701, 2019
112019
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
112017
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
112014
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20