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52 Publications
2022 | Journal Article | IST-REx-ID: 10364 | 
Hashemi, Seyyed Ali, Marco Mondelli, Arman Fazeli, Alexander Vardy, John Cioffi, and Andrea Goldsmith. “Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes.” IEEE Transactions on Wireless Communications. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/TWC.2021.3125626.
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2022 | Journal Article | IST-REx-ID: 12538 |
Amani, Mohammad Hossein, Simone Bombari, Marco Mondelli, Rattana Pukdee, and Stefano Rini. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop. IEEE, 2022. https://doi.org/10.1109/ITW54588.2022.9965870.
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2022 | Conference Paper | IST-REx-ID: 12537 |
Bombari, Simone, Mohammad Hossein Amani, and Marco Mondelli. “Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization.” In 36th Conference on Neural Information Processing Systems, 35:7628–40. Curran Associates, 2022.
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2022 | Journal Article | IST-REx-ID: 12480 |
Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing, 2022. https://doi.org/10.1088/1742-5468/ac9828.
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2021 | Conference Paper | IST-REx-ID: 10595 |
Nguyen, Quynh, Marco Mondelli, and Guido F Montufar. “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, edited by Marina Meila and Tong Zhang, 139:8119–29. ML Research Press, 2021.
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2021 | Conference Paper | IST-REx-ID: 10599 |
Hashemi, Seyyed Ali, Marco Mondelli, John Cioffi, and Andrea Goldsmith. “Successive Syndrome-Check Decoding of Polar Codes.” In Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021–October:943–47. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/IEEECONF53345.2021.9723394.
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2021 | Conference Paper | IST-REx-ID: 13146 |
Nguyen, Quynh, Marco Mondelli, and Guido Montufar. “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, 139:8119–29. ML Research Press, 2021.
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| arXiv
2021 | Journal Article | IST-REx-ID: 9047 |
Mondelli, Marco, Seyyed Ali Hashemi, John M. Cioffi, and Andrea Goldsmith. “Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes.” IEEE Transactions on Wireless Communications. IEEE, 2021. https://doi.org/10.1109/TWC.2020.3022922.
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2021 | Conference Paper | IST-REx-ID: 10053 |
Hashemi, Seyyed Ali, Marco Mondelli, Arman Fazeli, Alexander Vardy, John Cioffi, and Andrea Goldsmith. “Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes.” In 2021 IEEE International Symposium on Information Theory, 2369–74. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/ISIT45174.2021.9518153.
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2021 | Conference Paper | IST-REx-ID: 10597 |
Fathollahi, Dorsa, Nariman Farsad, Seyyed Ali Hashemi, and Marco Mondelli. “Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes.” In 2021 IEEE International Symposium on Information Theory, 1082–87. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/isit45174.2021.9517887.
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2021 | Journal Article | IST-REx-ID: 10211 |
Mondelli, Marco, Christos Thrampoulidis, and Ramji Venkataramanan. “Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models.” Foundations of Computational Mathematics. Springer, 2021. https://doi.org/10.1007/s10208-021-09531-x.
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2021 | Conference Paper | IST-REx-ID: 10593 |
Mondelli, Marco, and Ramji Venkataramanan. “PCA Initialization for Approximate Message Passing in Rotationally Invariant Models.” In 35th Conference on Neural Information Processing Systems, 35:29616–29. Neural Information Processing Systems Foundation, 2021.
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2021 | Conference Paper | IST-REx-ID: 10594 |
Nguyen, Quynh, Pierre Bréchet, and Marco Mondelli. “When Are Solutions Connected in Deep Networks?” In 35th Conference on Neural Information Processing Systems, Vol. 35. Neural Information Processing Systems Foundation, 2021.
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| arXiv
2021 | Conference Paper | IST-REx-ID: 10598 |
Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, edited by Arindam Banerjee and Kenji Fukumizu, 130:397–405. ML Research Press, 2021.
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2021 | Journal Article | IST-REx-ID: 9002
Fazeli, Arman, Hamed Hassani, Marco Mondelli, and Alexander Vardy. “Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels.” IEEE Transactions on Information Theory. IEEE, 2021. https://doi.org/10.1109/TIT.2020.3038806.
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2021 | Journal Article | IST-REx-ID: 15254 |
Li, Sijie, Rawad Bitar, Sidharth Jaggi, and Yihan Zhang. “Network Coding with Myopic Adversaries.” IEEE Journal on Selected Areas in Information Theory. IEEE, 2021. https://doi.org/10.1109/JSAIT.2021.3126474.
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2020 | Conference Paper | IST-REx-ID: 9221 |
Nguyen, Quynh, and Marco Mondelli. “Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology.” In 34th Conference on Neural Information Processing Systems, 33:11961–11972. Curran Associates, 2020.
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2020 | Conference Paper | IST-REx-ID: 8536 |
Mondelli, Marco, Seyyed Ali Hashemi, John Cioffi, and Andrea Goldsmith. “Simplified Successive Cancellation Decoding of Polar Codes Has Sublinear Latency.” In IEEE International Symposium on Information Theory - Proceedings, Vol. 2020–June. IEEE, 2020. https://doi.org/10.1109/ISIT44484.2020.9174141.
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2020 | Conference Paper | IST-REx-ID: 9198 |
Shevchenko, Alexander, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” In Proceedings of the 37th International Conference on Machine Learning, 119:8773–84. ML Research Press, 2020.
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2020 | Journal Article | IST-REx-ID: 6748 |
Javanmard, Adel, Marco Mondelli, and Andrea Montanari. “Analysis of a Two-Layer Neural Network via Displacement Convexity.” Annals of Statistics. Institute of Mathematical Statistics, 2020. https://doi.org/10.1214/20-AOS1945.
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