Marco Mondelli

73 Publications

Mark all

[73]
2025 | Published | Journal Article | IST-REx-ID: 18986 | OA
Barbier J, Camilli F, Xu Y, Mondelli M. Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise. Physical Review Research. 2025;7. doi:10.1103/PhysRevResearch.7.013081
[Published Version] View | Files available | DOI | arXiv
 
[72]
2025 | Published | Journal Article | IST-REx-ID: 19627 | OA
Bombari S, Mondelli M. Privacy for free in the overparameterized regime. Proceedings of the National Academy of Sciences. 2025;122(15). doi:10.1073/pnas.2423072122
[Published Version] View | Files available | DOI | PubMed | Europe PMC | arXiv
 
[71]
2025 | Published | Conference Paper | IST-REx-ID: 20033 | OA
Emrullah Ildiz M, Gozeten HA, Taga EO, Mondelli M, Oymak S. High-dimensional analysis of knowledge distillation: Weak-to-Strong generalization and scaling laws. In: 13th International Conference on Learning Representations. ICLR; 2025:2967-3006.
[Published Version] View | Files available | arXiv
 
[70]
2025 | Published | Conference Paper | IST-REx-ID: 20035 | OA
Jacot A, Súkeník P, Wang Z, Mondelli M. Wide neural networks trained with weight decay provably exhibit neural collapse. In: 13th International Conference on Learning Representations. ICLR; 2025:1905-1931.
[Published Version] View | Files available | arXiv
 
[69]
2025 | Published | Journal Article | IST-REx-ID: 19065 | OA | PlanS
Fornasier M, Klock T, Mondelli M, Rauchensteiner M. Efficient identification of wide shallow neural networks with biases. Applied and Computational Harmonic Analysis. 2025;77. doi:10.1016/j.acha.2025.101749
[Published Version] View | Files available | DOI
 
[68]
2024 | Published | Conference Paper | IST-REx-ID: 18973 | OA
Bombari S, Mondelli M. Towards understanding the word sensitivity of attention layers: A study via random features. In: 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:4300-4328.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[67]
2024 | Published | Conference Paper | IST-REx-ID: 18972 | OA
Bombari S, Mondelli M. How spurious features are memorized: Precise analysis for random and NTK features. In: 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:4267-4299.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[66]
2024 | Published | Conference Paper | IST-REx-ID: 17147
Depope A, Mondelli M, Robinson MR. Inference of genetic effects via approximate message passing. In: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE; 2024:13151-13155. doi:10.1109/ICASSP48485.2024.10447198
View | DOI
 
[65]
2024 | Published | Conference Paper | IST-REx-ID: 18897 | OA
Pedrotti F, Maas J, Mondelli M. Improved convergence of score-based diffusion models via prediction-correction. In: Transactions on Machine Learning Research. ; 2024.
[Published Version] View | Files available | arXiv
 
[64]
2024 | Draft | Preprint | IST-REx-ID: 17350 | OA
Pedrotti F, Maas J, Mondelli M. Improved convergence of score-based diffusion models via prediction-correction. arXiv. doi:10.48550/arXiv.2305.14164
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[63]
2024 | Published | Conference Paper | IST-REx-ID: 18890 | OA
Beaglehole D, Súkeník P, Mondelli M, Belkin M. Average gradient outer product as a mechanism for deep neural collapse. In: 38th Annual Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[62]
2024 | Published | Conference Paper | IST-REx-ID: 18891 | OA
Súkeník P, Lampert C, Mondelli M. Neural collapse versus low-rank bias: Is deep neural collapse really optimal? In: 38th Annual Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
[Published Version] View | Files available | arXiv
 
[61]
2024 | Published | Journal Article | IST-REx-ID: 15172 | OA
Esposito AR, Mondelli M. Concentration without independence via information measures. IEEE Transactions on Information Theory. 2024;70(6):3823-3839. doi:10.1109/TIT.2024.3367767
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[60]
2024 | Published | Conference Paper | IST-REx-ID: 17469 | OA
Kögler K, Shevchenko A, Hassani H, Mondelli M. Compression of structured data with autoencoders: Provable benefit of nonlinearities and depth. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:24964-25015.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[59]
2023 | Published | Journal Article | IST-REx-ID: 13315 | OA
Barbier J, Camilli F, Mondelli M, Sáenz M. Fundamental limits in structured principal component analysis and how to reach them. Proceedings of the National Academy of Sciences of the United States of America. 2023;120(30). doi:10.1073/pnas.2302028120
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[58]
2023 | Published | Conference Paper | IST-REx-ID: 13321 | OA
Xu Y, Hou TQ, Liang SS, Mondelli M. Approximate message passing for multi-layer estimation in rotationally invariant models. In: 2023 IEEE Information Theory Workshop. Institute of Electrical and Electronics Engineers; 2023:294-298. doi:10.1109/ITW55543.2023.10160238
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[57]
2023 | Published | Conference Paper | IST-REx-ID: 12859 | OA
Bombari S, Kiyani S, Mondelli M. Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:2738-2776.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[56]
2023 | Published | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. In: 37th Annual Conference on Neural Information Processing Systems. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[55]
2023 | Published | Conference Paper | IST-REx-ID: 14924 | OA
Wu D, Kungurtsev V, Mondelli M. Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence. In: Transactions on Machine Learning Research. ML Research Press; 2023.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[54]
2023 | Published | Conference Paper | IST-REx-ID: 14922 | OA
Esposito AR, Mondelli M. Concentration without independence via information measures. In: Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE; 2023:400-405. doi:10.1109/isit54713.2023.10206899
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[53]
2023 | Published | Conference Paper | IST-REx-ID: 14923 | OA
Fu T, Liu Y, Barbier J, Mondelli M, Liang S, Hou T. Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. In: Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE; 2023:1178-1183. doi:10.1109/isit54713.2023.10206671
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[52]
2023 | Published | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko A, Kögler K, Hassani H, Mondelli M. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:31151-31209.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[51]
2022 | Published | Journal Article | IST-REx-ID: 12233 | OA
Doan N, Hashemi SA, Mondelli M, Gross WJ. Decoding Reed-Muller codes with successive codeword permutations. IEEE Transactions on Communications. 2022;70(11):7134-7145. doi:10.1109/tcomm.2022.3211101
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[50]
2022 | Published | Conference Paper | IST-REx-ID: 12536 | OA
Barbier J, Hou T, Mondelli M, Saenz M. The price of ignorance: How much does it cost to forget noise structure in low-rank matrix estimation? In: 36th Annual Conference on Neural Information Processing Systems. Vol 35. ; 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[49]
2022 | Published | Journal Article | IST-REx-ID: 12538 | OA
Amani MH, Bombari S, Mondelli M, Pukdee R, Rini S. Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop. 2022:588-593. doi:10.1109/ITW54588.2022.9965870
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[48]
2022 | Published | Journal Article | IST-REx-ID: 10211 | OA
Mondelli M, Thrampoulidis C, Venkataramanan R. Optimal combination of linear and spectral estimators for generalized linear models. Foundations of Computational Mathematics. 2022;22(5):1513-1566. doi:10.1007/s10208-021-09531-x
[Published Version] View | Files available | DOI | WoS | arXiv
 
[47]
2022 | Published | Journal Article | IST-REx-ID: 10364 | OA
Hashemi SA, Mondelli M, Fazeli A, Vardy A, Cioffi J, Goldsmith A. Parallelism versus latency in simplified successive-cancellation decoding of polar codes. IEEE Transactions on Wireless Communications. 2022;21(6):3909-3920. doi:10.1109/TWC.2021.3125626
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[46]
2022 | Published | Journal Article | IST-REx-ID: 12480 | OA
Mondelli M, Venkataramanan R. Approximate message passing with spectral initialization for generalized linear models. Journal of Statistical Mechanics: Theory and Experiment. 2022;2022(11). doi:10.1088/1742-5468/ac9828
[Published Version] View | Files available | DOI | WoS
 
[45]
2022 | Published | Conference Paper | IST-REx-ID: 12540 | OA
Venkataramanan R, Kögler K, Mondelli M. Estimation in rotationally invariant generalized linear models via approximate message passing. In: Proceedings of the 39th International Conference on Machine Learning. Vol 162. ML Research Press; 2022.
[Published Version] View | Files available
 
[44]
2022 | Published | Conference Paper | IST-REx-ID: 12537 | OA
Bombari S, Amani MH, Mondelli M. Memorization and optimization in deep neural networks with minimum over-parameterization. In: 36th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2022:7628-7640.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[43]
2022 | Published | Conference Paper | IST-REx-ID: 12016 | OA
Fathollahi D, Mondelli M. Polar coded computing: The role of the scaling exponent. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE; 2022:2154-2159. doi:10.1109/ISIT50566.2022.9834712
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[42]
2022 | Published | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko A, Kungurtsev V, Mondelli M. Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. 2022;23(130):1-55.
[Published Version] View | Files available | arXiv
 
[41]
2021 | Published | Conference Paper | IST-REx-ID: 10053 | OA
Hashemi SA, Mondelli M, Fazeli A, Vardy A, Cioffi J, Goldsmith A. Parallelism versus latency in simplified successive-cancellation decoding of polar codes. In: 2021 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers; 2021:2369-2374. doi:10.1109/ISIT45174.2021.9518153
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[40]
2021 | Published | Conference Paper | IST-REx-ID: 10593 | OA
Mondelli M, Venkataramanan R. PCA initialization for approximate message passing in rotationally invariant models. In: 35th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2021:29616-29629.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[39]
2021 | Published | Conference Paper | IST-REx-ID: 10594 | OA
Nguyen Q, Bréchet P, Mondelli M. When are solutions connected in deep networks? In: 35th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[38]
2021 | Published | Conference Paper | IST-REx-ID: 10595 | OA
Nguyen Q, Mondelli M, Montufar GF. Tight bounds on the smallest eigenvalue of the neural tangent kernel for deep ReLU networks. In: Meila M, Zhang T, eds. Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:8119-8129.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[37]
2021 | Published | Conference Paper | IST-REx-ID: 10599 | OA
Hashemi SA, Mondelli M, Cioffi J, Goldsmith A. Successive syndrome-check decoding of polar codes. In: Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers. Vol 2021-October. Institute of Electrical and Electronics Engineers; 2021:943-947. doi:10.1109/IEEECONF53345.2021.9723394
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[36]
2021 | Published | Conference Paper | IST-REx-ID: 10597 | OA
Fathollahi D, Farsad N, Hashemi SA, Mondelli M. Sparse multi-decoder recursive projection aggregation for Reed-Muller codes. In: 2021 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers; 2021:1082-1087. doi:10.1109/isit45174.2021.9517887
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[35]
2021 | Published | Conference Paper | IST-REx-ID: 10598 | OA
Mondelli M, Venkataramanan R. Approximate message passing with spectral initialization for generalized linear models. In: Banerjee A, Fukumizu K, eds. Proceedings of The 24th International Conference on Artificial Intelligence and Statistics. Vol 130. ML Research Press; 2021:397-405.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[34]
2021 | Published | Journal Article | IST-REx-ID: 9002 | OA
Fazeli A, Hassani H, Mondelli M, Vardy A. Binary linear codes with optimal scaling: Polar codes with large kernels. IEEE Transactions on Information Theory. 2021;67(9):5693-5710. doi:10.1109/TIT.2020.3038806
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[33]
2021 | Published | Conference Paper | IST-REx-ID: 13146 | OA
Nguyen Q, Mondelli M, Montufar G. Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:8119-8129.
[Published Version] View | Files available | arXiv
 
[32]
2021 | Published | Journal Article | IST-REx-ID: 9047 | OA
Mondelli M, Hashemi SA, Cioffi JM, Goldsmith A. Sublinear latency for simplified successive cancellation decoding of polar codes. IEEE Transactions on Wireless Communications. 2021;20(1):18-27. doi:10.1109/TWC.2020.3022922
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[31]
2020 | Published | Journal Article | IST-REx-ID: 6748 | OA
Javanmard A, Mondelli M, Montanari A. Analysis of a two-layer neural network via displacement convexity. Annals of Statistics. 2020;48(6):3619-3642. doi:10.1214/20-AOS1945
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[30]
2020 | Published | Conference Paper | IST-REx-ID: 9221 | OA
Nguyen Q, Mondelli M. Global convergence of deep networks with one wide layer followed by pyramidal topology. In: 34th Conference on Neural Information Processing Systems. Vol 33. Neural Information Processing Systems Foundation; 2020:11961–11972.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[29]
2020 | Published | Conference Paper | IST-REx-ID: 8536 | OA
Mondelli M, Hashemi SA, Cioffi J, Goldsmith A. Simplified successive cancellation decoding of polar codes has sublinear latency. In: IEEE International Symposium on Information Theory - Proceedings. Vol 2020-June. IEEE; 2020. doi:10.1109/ISIT44484.2020.9174141
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[28]
2020 | Published | Conference Paper | IST-REx-ID: 9198 | OA
Shevchenko A, Mondelli M. Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ML Research Press; 2020:8773-8784.
[Published Version] View | Files available | arXiv
 
[27]
2019 | Published | Journal Article | IST-REx-ID: 6662 | OA
Mondelli M, Montanari A. Fundamental limits of weak recovery with applications to phase retrieval. Foundations of Computational Mathematics. 2019;19(3):703-773. doi:10.1007/s10208-018-9395-y
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[26]
2019 | Published | Journal Article | IST-REx-ID: 6663 | OA
Mondelli M, Hassani H, Urbanke R. Construction of polar codes with sublinear complexity. IEEE. 2019;65(5):2782-2791. doi:10.1109/tit.2018.2889667
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[25]
2019 | Published | Journal Article | IST-REx-ID: 7007 | OA
Mondelli M, Hassani SH, Urbanke R. A new coding paradigm for the primitive relay channel. Algorithms. 2019;12(10). doi:10.3390/a12100218
[Published Version] View | Files available | DOI | arXiv
 
[24]
2019 | Published | Journal Article | IST-REx-ID: 6750 | OA
Hashemi SA, Condo C, Mondelli M, Gross WJ. Rate-flexible fast polar decoders. IEEE Transactions on Signal Processing. 2019;67(22). doi:10.1109/TSP.2019.2944738
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[23]
2019 | Published | Conference Paper | IST-REx-ID: 6747 | OA
Mondelli M, Montanari A. On the connection between learning two-layers neural networks and tensor  decomposition. In: Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics. Vol 89. Proceedings of Machine Learning Research; 2019:1051-1060.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[22]
2018 | Published | Conference Paper | IST-REx-ID: 6664 | OA
Hashemi SA, Doan N, Mondelli M, Gross W. Decoding Reed-Muller and polar codes by successive factor graph permutations. In: 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing. IEEE; 2018:1-5. doi:10.1109/istc.2018.8625281
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2018 | Published | Journal Article | IST-REx-ID: 6674
Hashemi SA, Mondelli M, Hassani SH, Condo C, Urbanke RL, Gross WJ. Decoder partitioning: Towards practical list decoding of polar codes. IEEE Transactions on Communications. 2018;66(9):3749-3759. doi:10.1109/tcomm.2018.2832207
View | DOI
 
[20]
2018 | Published | Conference Paper | IST-REx-ID: 6675 | OA
Mondelli M, Hassani H, Urbanke R. A new coding paradigm for the primitive relay channel. In: 2018 IEEE International Symposium on Information Theory. IEEE; 2018:351-355. doi:10.1109/isit.2018.8437479
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[19]
2018 | Published | Journal Article | IST-REx-ID: 6678 | OA
Mondelli M, Hassani H, Urbanke R. How to achieve the capacity of asymmetric channels. IEEE Transactions on Information Theory. 2018;64(5):3371-3393. doi:10.1109/tit.2018.2789885
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[18]
2018 | Published | Conference Paper | IST-REx-ID: 6728 | OA
Doan N, Hashemi SA, Mondelli M, Gross WJ. On the decoding of polar codes on permuted factor graphs. In: 2018 IEEE Global Communications Conference . IEEE; 2018. doi:10.1109/glocom.2018.8647308
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[17]
2018 | Published | Conference Paper | IST-REx-ID: 6665 | OA
Fazeli A, Hassani H, Mondelli M, Vardy A. Binary linear codes with optimal scaling: Polar codes with large kernels. In: 2018 IEEE Information Theory Workshop. IEEE; 2018:1-5. doi:10.1109/itw.2018.8613428
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[16]
2017 | Published | Conference Paper | IST-REx-ID: 6679 | OA
Hashemi SA, Mondelli M, Hassani H, Urbanke R, Gross W. Partitioned list decoding of polar codes: Analysis and improvement of finite length performance. In: 2017 IEEE Global Communications Conference. IEEE; 2017:1-7. doi:10.1109/glocom.2017.8254940
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[15]
2017 | Published | Conference Paper | IST-REx-ID: 6729 | OA
Mondelli M, Hassani SH, Urbanke R. Construction of polar codes with sublinear complexity. In: 2017 IEEE International Symposium on Information Theory . IEEE; 2017:1853-1857. doi:10.1109/isit.2017.8006850
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[14]
2017 | Published | Journal Article | IST-REx-ID: 6730 | OA
Kudekar S, Kumar S, Mondelli M, Pfister HD, Sasoglu E, Urbanke RL. Reed–Muller codes achieve capacity on erasure channels. IEEE Transactions on Information Theory. 2017;63(7):4298-4316. doi:10.1109/tit.2017.2673829
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[13]
2017 | Published | Conference Paper | IST-REx-ID: 6731 | OA
Mondelli M, Hassani H, Maric I, Hui D, Hong S-N. Capacity-achieving rate-compatible polar codes for general channels. In: 2017 IEEE Wireless Communications and Networking Conference Workshops . IEEE; 2017. doi:10.1109/wcncw.2017.7919107
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[12]
2016 | Published | Journal Article | IST-REx-ID: 6732 | OA
Mondelli M, Hassani SH, Urbanke RL. Unified scaling of polar codes: Error exponent, scaling exponent, moderate deviations, and error floors. IEEE Transactions on Information Theory. 2016;62(12):6698-6712. doi:10.1109/tit.2016.2616117
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[11]
2016 | Published | Conference Paper | IST-REx-ID: 6733 | OA
Kudekar S, Kumar S, Mondelli M, Pfister HD, Urbankez R. Comparing the bit-MAP and block-MAP decoding thresholds of Reed-Muller codes on BMS channels. In: 2016 IEEE International Symposium on Information Theory . IEEE; 2016:1755-1759. doi:10.1109/isit.2016.7541600
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[10]
2016 | Published | Conference Paper | IST-REx-ID: 6770
Mondelli M, Kudekar S, Kumar S, Pfister HD, Şaşoğlu E, Urbanke R. Reed-Muller codes: Thresholds and weight distribution. In: 24th International Zurich Seminar on Communications. ETH Zürich; 2016:50. doi:10.3929/ETHZ-A-010646484
View | DOI
 
[9]
2015 | Published | Journal Article | IST-REx-ID: 6736 | OA
Mondelli M, Hassani H, Urbanke R. Scaling exponent of list decoders with applications to polar codes. IEEE Transactions on Information Theory. 2015;61(9):4838-4851. doi:10.1109/tit.2015.2453315
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[8]
2015 | Published | Journal Article | IST-REx-ID: 6737 | OA
Mondelli M, Hassani H, Sason I, Urbanke R. Achieving Marton’s region for broadcast channels using polar codes. IEEE Transactions on Information Theory. 2015;61(2):783-800. doi:10.1109/tit.2014.2368555
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2014 | Published | Journal Article | IST-REx-ID: 6739 | OA
Mondelli M, Hassani H, Urbanke R. From polar to Reed-Muller codes: A technique to improve the finite-length performance. IEEE Transactions on Communications. 2014;62(9):3084-3091. doi:10.1109/tcomm.2014.2345069
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[6]
2014 | Published | Conference Paper | IST-REx-ID: 6740 | OA
Mondelli M, Urbanke R, Hassani H. How to achieve the capacity of asymmetric channels. In: 52nd Annual Allerton Conference on Communication, Control, and Computing. IEEE; 2014:789-796. doi:10.1109/allerton.2014.7028535
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[5]
2014 | Published | Journal Article | IST-REx-ID: 6744
Mondelli M, Zhou Q, Lottici V, Ma X. Joint power allocation and path selection for multi-hop noncoherent decode and forward UWB communications. IEEE Transactions on Wireless Communications. 2014;13(3):1397-1409. doi:10.1109/twc.2014.020914.130669
View | DOI
 
[4]
2013 | Published | Journal Article | IST-REx-ID: 6768 | OA
Mondelli M. A finite difference scheme for the stack filter simulating the MCM. Image Processing On Line. 2013;3:68-111. doi:10.5201/ipol.2013.53
[Published Version] View | Files available | DOI
 
[3]
2012 | Published | Conference Paper | IST-REx-ID: 6746
Mondelli M, Zhou Q, Ma X, Lottici V. A cooperative approach for amplify-and-forward differential transmitted reference IR-UWB relay systems. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2012:2905-2908. doi:10.1109/icassp.2012.6288524
View | DOI
 
[2]
2011 | Published | Journal Article | IST-REx-ID: 6749 | OA
Mondelli M, Ciomaga A. Finite difference schemes for MCM and AMSS. Image Processing On Line. 2011;1:127-177. doi:10.5201/ipol.2011.cm_fds
[Published Version] View | Files available | DOI
 
[1]
2011 | Published | Conference Paper | IST-REx-ID: 6767
Mondelli M, Ciomaga A. On finite difference schemes for curvature motions. In: Proceedings of the International Student Conference on Pure and Applied Mathematics. Editura Universitãtii „Alexandru Ioan Cuza” Iasi; 2011:137-156. doi:10.13140/2.1.1862.4646
View | DOI
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: AMA

Export / Embed

2 Grants


Inference in High Dimensions: Light-speed Algorithms and Information Limits (INF_2)

2024-10-01 – 2029-09-30
European Research Council

Prix Lopez-Loretta 2019 - Marco Mondelli

2020-10-01 – 2025-09-30
Fondation Jean-Jacques et Felicia Lopez-Loreta

73 Publications

Mark all

[73]
2025 | Published | Journal Article | IST-REx-ID: 18986 | OA
Barbier J, Camilli F, Xu Y, Mondelli M. Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise. Physical Review Research. 2025;7. doi:10.1103/PhysRevResearch.7.013081
[Published Version] View | Files available | DOI | arXiv
 
[72]
2025 | Published | Journal Article | IST-REx-ID: 19627 | OA
Bombari S, Mondelli M. Privacy for free in the overparameterized regime. Proceedings of the National Academy of Sciences. 2025;122(15). doi:10.1073/pnas.2423072122
[Published Version] View | Files available | DOI | PubMed | Europe PMC | arXiv
 
[71]
2025 | Published | Conference Paper | IST-REx-ID: 20033 | OA
Emrullah Ildiz M, Gozeten HA, Taga EO, Mondelli M, Oymak S. High-dimensional analysis of knowledge distillation: Weak-to-Strong generalization and scaling laws. In: 13th International Conference on Learning Representations. ICLR; 2025:2967-3006.
[Published Version] View | Files available | arXiv
 
[70]
2025 | Published | Conference Paper | IST-REx-ID: 20035 | OA
Jacot A, Súkeník P, Wang Z, Mondelli M. Wide neural networks trained with weight decay provably exhibit neural collapse. In: 13th International Conference on Learning Representations. ICLR; 2025:1905-1931.
[Published Version] View | Files available | arXiv
 
[69]
2025 | Published | Journal Article | IST-REx-ID: 19065 | OA | PlanS
Fornasier M, Klock T, Mondelli M, Rauchensteiner M. Efficient identification of wide shallow neural networks with biases. Applied and Computational Harmonic Analysis. 2025;77. doi:10.1016/j.acha.2025.101749
[Published Version] View | Files available | DOI
 
[68]
2024 | Published | Conference Paper | IST-REx-ID: 18973 | OA
Bombari S, Mondelli M. Towards understanding the word sensitivity of attention layers: A study via random features. In: 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:4300-4328.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[67]
2024 | Published | Conference Paper | IST-REx-ID: 18972 | OA
Bombari S, Mondelli M. How spurious features are memorized: Precise analysis for random and NTK features. In: 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:4267-4299.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[66]
2024 | Published | Conference Paper | IST-REx-ID: 17147
Depope A, Mondelli M, Robinson MR. Inference of genetic effects via approximate message passing. In: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE; 2024:13151-13155. doi:10.1109/ICASSP48485.2024.10447198
View | DOI
 
[65]
2024 | Published | Conference Paper | IST-REx-ID: 18897 | OA
Pedrotti F, Maas J, Mondelli M. Improved convergence of score-based diffusion models via prediction-correction. In: Transactions on Machine Learning Research. ; 2024.
[Published Version] View | Files available | arXiv
 
[64]
2024 | Draft | Preprint | IST-REx-ID: 17350 | OA
Pedrotti F, Maas J, Mondelli M. Improved convergence of score-based diffusion models via prediction-correction. arXiv. doi:10.48550/arXiv.2305.14164
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[63]
2024 | Published | Conference Paper | IST-REx-ID: 18890 | OA
Beaglehole D, Súkeník P, Mondelli M, Belkin M. Average gradient outer product as a mechanism for deep neural collapse. In: 38th Annual Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[62]
2024 | Published | Conference Paper | IST-REx-ID: 18891 | OA
Súkeník P, Lampert C, Mondelli M. Neural collapse versus low-rank bias: Is deep neural collapse really optimal? In: 38th Annual Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
[Published Version] View | Files available | arXiv
 
[61]
2024 | Published | Journal Article | IST-REx-ID: 15172 | OA
Esposito AR, Mondelli M. Concentration without independence via information measures. IEEE Transactions on Information Theory. 2024;70(6):3823-3839. doi:10.1109/TIT.2024.3367767
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[60]
2024 | Published | Conference Paper | IST-REx-ID: 17469 | OA
Kögler K, Shevchenko A, Hassani H, Mondelli M. Compression of structured data with autoencoders: Provable benefit of nonlinearities and depth. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:24964-25015.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[59]
2023 | Published | Journal Article | IST-REx-ID: 13315 | OA
Barbier J, Camilli F, Mondelli M, Sáenz M. Fundamental limits in structured principal component analysis and how to reach them. Proceedings of the National Academy of Sciences of the United States of America. 2023;120(30). doi:10.1073/pnas.2302028120
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[58]
2023 | Published | Conference Paper | IST-REx-ID: 13321 | OA
Xu Y, Hou TQ, Liang SS, Mondelli M. Approximate message passing for multi-layer estimation in rotationally invariant models. In: 2023 IEEE Information Theory Workshop. Institute of Electrical and Electronics Engineers; 2023:294-298. doi:10.1109/ITW55543.2023.10160238
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[57]
2023 | Published | Conference Paper | IST-REx-ID: 12859 | OA
Bombari S, Kiyani S, Mondelli M. Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:2738-2776.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[56]
2023 | Published | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. In: 37th Annual Conference on Neural Information Processing Systems. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[55]
2023 | Published | Conference Paper | IST-REx-ID: 14924 | OA
Wu D, Kungurtsev V, Mondelli M. Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence. In: Transactions on Machine Learning Research. ML Research Press; 2023.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[54]
2023 | Published | Conference Paper | IST-REx-ID: 14922 | OA
Esposito AR, Mondelli M. Concentration without independence via information measures. In: Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE; 2023:400-405. doi:10.1109/isit54713.2023.10206899
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[53]
2023 | Published | Conference Paper | IST-REx-ID: 14923 | OA
Fu T, Liu Y, Barbier J, Mondelli M, Liang S, Hou T. Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. In: Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE; 2023:1178-1183. doi:10.1109/isit54713.2023.10206671
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[52]
2023 | Published | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko A, Kögler K, Hassani H, Mondelli M. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:31151-31209.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[51]
2022 | Published | Journal Article | IST-REx-ID: 12233 | OA
Doan N, Hashemi SA, Mondelli M, Gross WJ. Decoding Reed-Muller codes with successive codeword permutations. IEEE Transactions on Communications. 2022;70(11):7134-7145. doi:10.1109/tcomm.2022.3211101
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[50]
2022 | Published | Conference Paper | IST-REx-ID: 12536 | OA
Barbier J, Hou T, Mondelli M, Saenz M. The price of ignorance: How much does it cost to forget noise structure in low-rank matrix estimation? In: 36th Annual Conference on Neural Information Processing Systems. Vol 35. ; 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[49]
2022 | Published | Journal Article | IST-REx-ID: 12538 | OA
Amani MH, Bombari S, Mondelli M, Pukdee R, Rini S. Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop. 2022:588-593. doi:10.1109/ITW54588.2022.9965870
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[48]
2022 | Published | Journal Article | IST-REx-ID: 10211 | OA
Mondelli M, Thrampoulidis C, Venkataramanan R. Optimal combination of linear and spectral estimators for generalized linear models. Foundations of Computational Mathematics. 2022;22(5):1513-1566. doi:10.1007/s10208-021-09531-x
[Published Version] View | Files available | DOI | WoS | arXiv
 
[47]
2022 | Published | Journal Article | IST-REx-ID: 10364 | OA
Hashemi SA, Mondelli M, Fazeli A, Vardy A, Cioffi J, Goldsmith A. Parallelism versus latency in simplified successive-cancellation decoding of polar codes. IEEE Transactions on Wireless Communications. 2022;21(6):3909-3920. doi:10.1109/TWC.2021.3125626
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[46]
2022 | Published | Journal Article | IST-REx-ID: 12480 | OA
Mondelli M, Venkataramanan R. Approximate message passing with spectral initialization for generalized linear models. Journal of Statistical Mechanics: Theory and Experiment. 2022;2022(11). doi:10.1088/1742-5468/ac9828
[Published Version] View | Files available | DOI | WoS
 
[45]
2022 | Published | Conference Paper | IST-REx-ID: 12540 | OA
Venkataramanan R, Kögler K, Mondelli M. Estimation in rotationally invariant generalized linear models via approximate message passing. In: Proceedings of the 39th International Conference on Machine Learning. Vol 162. ML Research Press; 2022.
[Published Version] View | Files available
 
[44]
2022 | Published | Conference Paper | IST-REx-ID: 12537 | OA
Bombari S, Amani MH, Mondelli M. Memorization and optimization in deep neural networks with minimum over-parameterization. In: 36th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2022:7628-7640.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[43]
2022 | Published | Conference Paper | IST-REx-ID: 12016 | OA
Fathollahi D, Mondelli M. Polar coded computing: The role of the scaling exponent. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE; 2022:2154-2159. doi:10.1109/ISIT50566.2022.9834712
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[42]
2022 | Published | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko A, Kungurtsev V, Mondelli M. Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. 2022;23(130):1-55.
[Published Version] View | Files available | arXiv
 
[41]
2021 | Published | Conference Paper | IST-REx-ID: 10053 | OA
Hashemi SA, Mondelli M, Fazeli A, Vardy A, Cioffi J, Goldsmith A. Parallelism versus latency in simplified successive-cancellation decoding of polar codes. In: 2021 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers; 2021:2369-2374. doi:10.1109/ISIT45174.2021.9518153
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[40]
2021 | Published | Conference Paper | IST-REx-ID: 10593 | OA
Mondelli M, Venkataramanan R. PCA initialization for approximate message passing in rotationally invariant models. In: 35th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2021:29616-29629.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[39]
2021 | Published | Conference Paper | IST-REx-ID: 10594 | OA
Nguyen Q, Bréchet P, Mondelli M. When are solutions connected in deep networks? In: 35th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[38]
2021 | Published | Conference Paper | IST-REx-ID: 10595 | OA
Nguyen Q, Mondelli M, Montufar GF. Tight bounds on the smallest eigenvalue of the neural tangent kernel for deep ReLU networks. In: Meila M, Zhang T, eds. Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:8119-8129.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[37]
2021 | Published | Conference Paper | IST-REx-ID: 10599 | OA
Hashemi SA, Mondelli M, Cioffi J, Goldsmith A. Successive syndrome-check decoding of polar codes. In: Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers. Vol 2021-October. Institute of Electrical and Electronics Engineers; 2021:943-947. doi:10.1109/IEEECONF53345.2021.9723394
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[36]
2021 | Published | Conference Paper | IST-REx-ID: 10597 | OA
Fathollahi D, Farsad N, Hashemi SA, Mondelli M. Sparse multi-decoder recursive projection aggregation for Reed-Muller codes. In: 2021 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers; 2021:1082-1087. doi:10.1109/isit45174.2021.9517887
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[35]
2021 | Published | Conference Paper | IST-REx-ID: 10598 | OA
Mondelli M, Venkataramanan R. Approximate message passing with spectral initialization for generalized linear models. In: Banerjee A, Fukumizu K, eds. Proceedings of The 24th International Conference on Artificial Intelligence and Statistics. Vol 130. ML Research Press; 2021:397-405.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[34]
2021 | Published | Journal Article | IST-REx-ID: 9002 | OA
Fazeli A, Hassani H, Mondelli M, Vardy A. Binary linear codes with optimal scaling: Polar codes with large kernels. IEEE Transactions on Information Theory. 2021;67(9):5693-5710. doi:10.1109/TIT.2020.3038806
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[33]
2021 | Published | Conference Paper | IST-REx-ID: 13146 | OA
Nguyen Q, Mondelli M, Montufar G. Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:8119-8129.
[Published Version] View | Files available | arXiv
 
[32]
2021 | Published | Journal Article | IST-REx-ID: 9047 | OA
Mondelli M, Hashemi SA, Cioffi JM, Goldsmith A. Sublinear latency for simplified successive cancellation decoding of polar codes. IEEE Transactions on Wireless Communications. 2021;20(1):18-27. doi:10.1109/TWC.2020.3022922
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[31]
2020 | Published | Journal Article | IST-REx-ID: 6748 | OA
Javanmard A, Mondelli M, Montanari A. Analysis of a two-layer neural network via displacement convexity. Annals of Statistics. 2020;48(6):3619-3642. doi:10.1214/20-AOS1945
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[30]
2020 | Published | Conference Paper | IST-REx-ID: 9221 | OA
Nguyen Q, Mondelli M. Global convergence of deep networks with one wide layer followed by pyramidal topology. In: 34th Conference on Neural Information Processing Systems. Vol 33. Neural Information Processing Systems Foundation; 2020:11961–11972.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[29]
2020 | Published | Conference Paper | IST-REx-ID: 8536 | OA
Mondelli M, Hashemi SA, Cioffi J, Goldsmith A. Simplified successive cancellation decoding of polar codes has sublinear latency. In: IEEE International Symposium on Information Theory - Proceedings. Vol 2020-June. IEEE; 2020. doi:10.1109/ISIT44484.2020.9174141
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[28]
2020 | Published | Conference Paper | IST-REx-ID: 9198 | OA
Shevchenko A, Mondelli M. Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ML Research Press; 2020:8773-8784.
[Published Version] View | Files available | arXiv
 
[27]
2019 | Published | Journal Article | IST-REx-ID: 6662 | OA
Mondelli M, Montanari A. Fundamental limits of weak recovery with applications to phase retrieval. Foundations of Computational Mathematics. 2019;19(3):703-773. doi:10.1007/s10208-018-9395-y
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[26]
2019 | Published | Journal Article | IST-REx-ID: 6663 | OA
Mondelli M, Hassani H, Urbanke R. Construction of polar codes with sublinear complexity. IEEE. 2019;65(5):2782-2791. doi:10.1109/tit.2018.2889667
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[25]
2019 | Published | Journal Article | IST-REx-ID: 7007 | OA
Mondelli M, Hassani SH, Urbanke R. A new coding paradigm for the primitive relay channel. Algorithms. 2019;12(10). doi:10.3390/a12100218
[Published Version] View | Files available | DOI | arXiv
 
[24]
2019 | Published | Journal Article | IST-REx-ID: 6750 | OA
Hashemi SA, Condo C, Mondelli M, Gross WJ. Rate-flexible fast polar decoders. IEEE Transactions on Signal Processing. 2019;67(22). doi:10.1109/TSP.2019.2944738
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[23]
2019 | Published | Conference Paper | IST-REx-ID: 6747 | OA
Mondelli M, Montanari A. On the connection between learning two-layers neural networks and tensor  decomposition. In: Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics. Vol 89. Proceedings of Machine Learning Research; 2019:1051-1060.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[22]
2018 | Published | Conference Paper | IST-REx-ID: 6664 | OA
Hashemi SA, Doan N, Mondelli M, Gross W. Decoding Reed-Muller and polar codes by successive factor graph permutations. In: 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing. IEEE; 2018:1-5. doi:10.1109/istc.2018.8625281
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2018 | Published | Journal Article | IST-REx-ID: 6674
Hashemi SA, Mondelli M, Hassani SH, Condo C, Urbanke RL, Gross WJ. Decoder partitioning: Towards practical list decoding of polar codes. IEEE Transactions on Communications. 2018;66(9):3749-3759. doi:10.1109/tcomm.2018.2832207
View | DOI
 
[20]
2018 | Published | Conference Paper | IST-REx-ID: 6675 | OA
Mondelli M, Hassani H, Urbanke R. A new coding paradigm for the primitive relay channel. In: 2018 IEEE International Symposium on Information Theory. IEEE; 2018:351-355. doi:10.1109/isit.2018.8437479
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[19]
2018 | Published | Journal Article | IST-REx-ID: 6678 | OA
Mondelli M, Hassani H, Urbanke R. How to achieve the capacity of asymmetric channels. IEEE Transactions on Information Theory. 2018;64(5):3371-3393. doi:10.1109/tit.2018.2789885
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[18]
2018 | Published | Conference Paper | IST-REx-ID: 6728 | OA
Doan N, Hashemi SA, Mondelli M, Gross WJ. On the decoding of polar codes on permuted factor graphs. In: 2018 IEEE Global Communications Conference . IEEE; 2018. doi:10.1109/glocom.2018.8647308
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[17]
2018 | Published | Conference Paper | IST-REx-ID: 6665 | OA
Fazeli A, Hassani H, Mondelli M, Vardy A. Binary linear codes with optimal scaling: Polar codes with large kernels. In: 2018 IEEE Information Theory Workshop. IEEE; 2018:1-5. doi:10.1109/itw.2018.8613428
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[16]
2017 | Published | Conference Paper | IST-REx-ID: 6679 | OA
Hashemi SA, Mondelli M, Hassani H, Urbanke R, Gross W. Partitioned list decoding of polar codes: Analysis and improvement of finite length performance. In: 2017 IEEE Global Communications Conference. IEEE; 2017:1-7. doi:10.1109/glocom.2017.8254940
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[15]
2017 | Published | Conference Paper | IST-REx-ID: 6729 | OA
Mondelli M, Hassani SH, Urbanke R. Construction of polar codes with sublinear complexity. In: 2017 IEEE International Symposium on Information Theory . IEEE; 2017:1853-1857. doi:10.1109/isit.2017.8006850
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[14]
2017 | Published | Journal Article | IST-REx-ID: 6730 | OA
Kudekar S, Kumar S, Mondelli M, Pfister HD, Sasoglu E, Urbanke RL. Reed–Muller codes achieve capacity on erasure channels. IEEE Transactions on Information Theory. 2017;63(7):4298-4316. doi:10.1109/tit.2017.2673829
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[13]
2017 | Published | Conference Paper | IST-REx-ID: 6731 | OA
Mondelli M, Hassani H, Maric I, Hui D, Hong S-N. Capacity-achieving rate-compatible polar codes for general channels. In: 2017 IEEE Wireless Communications and Networking Conference Workshops . IEEE; 2017. doi:10.1109/wcncw.2017.7919107
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[12]
2016 | Published | Journal Article | IST-REx-ID: 6732 | OA
Mondelli M, Hassani SH, Urbanke RL. Unified scaling of polar codes: Error exponent, scaling exponent, moderate deviations, and error floors. IEEE Transactions on Information Theory. 2016;62(12):6698-6712. doi:10.1109/tit.2016.2616117
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[11]
2016 | Published | Conference Paper | IST-REx-ID: 6733 | OA
Kudekar S, Kumar S, Mondelli M, Pfister HD, Urbankez R. Comparing the bit-MAP and block-MAP decoding thresholds of Reed-Muller codes on BMS channels. In: 2016 IEEE International Symposium on Information Theory . IEEE; 2016:1755-1759. doi:10.1109/isit.2016.7541600
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[10]
2016 | Published | Conference Paper | IST-REx-ID: 6770
Mondelli M, Kudekar S, Kumar S, Pfister HD, Şaşoğlu E, Urbanke R. Reed-Muller codes: Thresholds and weight distribution. In: 24th International Zurich Seminar on Communications. ETH Zürich; 2016:50. doi:10.3929/ETHZ-A-010646484
View | DOI
 
[9]
2015 | Published | Journal Article | IST-REx-ID: 6736 | OA
Mondelli M, Hassani H, Urbanke R. Scaling exponent of list decoders with applications to polar codes. IEEE Transactions on Information Theory. 2015;61(9):4838-4851. doi:10.1109/tit.2015.2453315
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[8]
2015 | Published | Journal Article | IST-REx-ID: 6737 | OA
Mondelli M, Hassani H, Sason I, Urbanke R. Achieving Marton’s region for broadcast channels using polar codes. IEEE Transactions on Information Theory. 2015;61(2):783-800. doi:10.1109/tit.2014.2368555
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2014 | Published | Journal Article | IST-REx-ID: 6739 | OA
Mondelli M, Hassani H, Urbanke R. From polar to Reed-Muller codes: A technique to improve the finite-length performance. IEEE Transactions on Communications. 2014;62(9):3084-3091. doi:10.1109/tcomm.2014.2345069
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[6]
2014 | Published | Conference Paper | IST-REx-ID: 6740 | OA
Mondelli M, Urbanke R, Hassani H. How to achieve the capacity of asymmetric channels. In: 52nd Annual Allerton Conference on Communication, Control, and Computing. IEEE; 2014:789-796. doi:10.1109/allerton.2014.7028535
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[5]
2014 | Published | Journal Article | IST-REx-ID: 6744
Mondelli M, Zhou Q, Lottici V, Ma X. Joint power allocation and path selection for multi-hop noncoherent decode and forward UWB communications. IEEE Transactions on Wireless Communications. 2014;13(3):1397-1409. doi:10.1109/twc.2014.020914.130669
View | DOI
 
[4]
2013 | Published | Journal Article | IST-REx-ID: 6768 | OA
Mondelli M. A finite difference scheme for the stack filter simulating the MCM. Image Processing On Line. 2013;3:68-111. doi:10.5201/ipol.2013.53
[Published Version] View | Files available | DOI
 
[3]
2012 | Published | Conference Paper | IST-REx-ID: 6746
Mondelli M, Zhou Q, Ma X, Lottici V. A cooperative approach for amplify-and-forward differential transmitted reference IR-UWB relay systems. In: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2012:2905-2908. doi:10.1109/icassp.2012.6288524
View | DOI
 
[2]
2011 | Published | Journal Article | IST-REx-ID: 6749 | OA
Mondelli M, Ciomaga A. Finite difference schemes for MCM and AMSS. Image Processing On Line. 2011;1:127-177. doi:10.5201/ipol.2011.cm_fds
[Published Version] View | Files available | DOI
 
[1]
2011 | Published | Conference Paper | IST-REx-ID: 6767
Mondelli M, Ciomaga A. On finite difference schemes for curvature motions. In: Proceedings of the International Student Conference on Pure and Applied Mathematics. Editura Universitãtii „Alexandru Ioan Cuza” Iasi; 2011:137-156. doi:10.13140/2.1.1862.4646
View | DOI
 
Marked Publication(s)

Search

Filter Publications

Display / Sort

Citation Style: AMA

Export / Embed