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19 Publications

2022 | 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. IEEE Signal Processing Society; 2022:943-947. doi:10.1109/IEEECONF53345.2021.9723394
View | DOI | Download Preprint (ext.) | arXiv
 
2022 | 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.
View | Files available | arXiv
 
2022 | Journal Article | IST-REx-ID: 11639
Zhang Y, Vatedka S. List decoding random Euclidean codes and Infinite constellations. IEEE Transactions on Information Theory. 2022. doi:10.1109/TIT.2022.3189542
View | DOI | arXiv
 
2022 | 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
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2021 | 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. NeurIPS.
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2021 | 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. NeurIPS.
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2021 | 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.
View | Download Published Version (ext.) | arXiv
 
2021 | 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
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2021 | 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.
View | Download Preprint (ext.) | arXiv
 
2021 | 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
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2021 | 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. 2021. doi:10.1007/s10208-021-09531-x
View | Files available | DOI | arXiv
 
2021 | 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
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2020 | 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
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2020 | 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
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2020 | Journal Article | IST-REx-ID: 9002
Fazeli A, Hassani H, Mondelli M, Vardy A. Binary linear codes with optimal scaling: Polar codes with large kernels. IEEE Transactions on Information Theory. 2020;67(9):5693-5710. doi:10.1109/TIT.2020.3038806
View | Files available | DOI | arXiv
 
2020 | 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. Proceedings of Machine Learning Research; 2020:8773-8784.
View | Files available | arXiv
 
2020 | 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. Curran Associates; 2020:11961–11972.
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2019 | 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
View | Files available | DOI | arXiv
 
2019 | 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
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