Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
52 Publications
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.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
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.
[Preprint]
View
| Download Preprint (ext.)
| 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.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
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.
[Preprint]
View
| Files available
| DOI
| arXiv
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.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
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.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
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.
[Published Version]
View
| Files available
| arXiv
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.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2019 | Journal Article | IST-REx-ID: 6750 |
Hashemi, Seyyed Ali, Carlo Condo, Marco Mondelli, and Warren J Gross. “Rate-Flexible Fast Polar Decoders.” IEEE Transactions on Signal Processing. IEEE, 2019. https://doi.org/10.1109/TSP.2019.2944738.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2019 | Journal Article | IST-REx-ID: 7007 |
Mondelli, Marco, S. Hamed Hassani, and Rüdiger Urbanke. “A New Coding Paradigm for the Primitive Relay Channel.” Algorithms. MDPI, 2019. https://doi.org/10.3390/a12100218.
[Published Version]
View
| Files available
| DOI
| arXiv