Zhang, Yihan, and Shashank Vatedka. “Lower Bounds on List Decoding Capacity Using Error Exponents.”https://doi.org/10.1109/ISIT50566.2022.9834815__In 2022 IEEE International Symposium on Information Theory, 2022:1324–29. Institute of Electrical and Electronics Engineers, 2022.https://doi.org/10.1109/ISIT50566.2022.9834815 .

Zhang, Yihan, and Shashank Vatedka. “Lower Bounds for Multiple Packing.”https://doi.org/10.1109/ISIT50566.2022.9834443__In 2022 IEEE International Symposium on Information Theory, 2022:3085–90. IEEE, 2022.https://doi.org/10.1109/ISIT50566.2022.9834443 .

Zhang, Yihan, and Shashank Vatedka. “List-Decodability of Poisson Point Processes.”https://doi.org/10.1109/ISIT50566.2022.9834512__In 2022 IEEE International Symposium on Information Theory, 2022:2559–64. IEEE, 2022.https://doi.org/10.1109/ISIT50566.2022.9834512 .

Polyanskii, Nikita, and Yihan Zhang. “List-Decodable Zero-Rate Codes for the Z-Channel.”https://doi.org/10.1109/ISIT50566.2022.9834829__In 2022 IEEE International Symposium on Information Theory, 2022:2553–58. Institute of Electrical and Electronics Engineers, 2022.https://doi.org/10.1109/ISIT50566.2022.9834829 .

Venkataramanan, Ramji, Kevin Kögler, and Marco Mondelli. “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.

Barbier, Jean, TianQi Hou, Marco Mondelli, and Manuel Saenz. “The Price of Ignorance: How Much Does It Cost to Forget Noise Structure in Low-Rank Matrix Estimation?”https://doi.org/10.48550/arXiv.2205.10009__ArXiv, n.d.https://doi.org/10.48550/arXiv.2205.10009 .

Bombari, Simone, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, and Stefano Soatto. “Towards Differential Relational Privacy and Its Use in Question Answering.”https://doi.org/10.48550/arXiv.2203.16701__ArXiv, n.d.https://doi.org/10.48550/arXiv.2203.16701 .

Zhang, Yihan, and Shashank Vatedka. “List Decoding Random Euclidean Codes and Infinite Constellations.”https://doi.org/10.1109/TIT.2022.3189542__IEEE Transactions on Information Theory. IEEE, 2022.https://doi.org/10.1109/TIT.2022.3189542 .

Doan, Nghia, Seyyed Ali Hashemi, Marco Mondelli, and Warren J. Gross. “Decoding Reed-Muller Codes with Successive Codeword Permutations.”https://doi.org/10.1109/tcomm.2022.3211101__IEEE Transactions on Communications. Institute of Electrical and Electronics Engineers, 2022.https://doi.org/10.1109/tcomm.2022.3211101 .

Zhang, Yihan, Shashank Vatedka, Sidharth Jaggi, and Anand D. Sarwate. “Quadratically Constrained Myopic Adversarial Channels.”https://doi.org/10.1109/tit.2022.3167554__IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers, 2022.https://doi.org/10.1109/tit.2022.3167554 .

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.”https://doi.org/10.1109/TWC.2021.3125626__IEEE Transactions on Wireless Communications. Institute of Electrical and Electronics Engineers, 2022.https://doi.org/10.1109/TWC.2021.3125626 .

Amani, Mohammad Hossein, Simone Bombari, Marco Mondelli, Rattana Pukdee, and Stefano Rini. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.”https://doi.org/10.1109/ITW54588.2022.9965870__IEEE Information Theory Workshop. IEEE, 2022.https://doi.org/10.1109/ITW54588.2022.9965870 .

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.

Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.”https://doi.org/10.1088/1742-5468/ac9828__Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing, 2022.https://doi.org/10.1088/1742-5468/ac9828 .

Mondelli, Marco, Christos Thrampoulidis, and Ramji Venkataramanan. “Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models.”https://doi.org/10.1007/s10208-021-09531-x__Foundations of Computational Mathematics. Springer, 2022.https://doi.org/10.1007/s10208-021-09531-x .

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.

Hashemi, Seyyed Ali, Marco Mondelli, John Cioffi, and Andrea Goldsmith. “Successive Syndrome-Check Decoding of Polar Codes.”https://doi.org/10.1109/IEEECONF53345.2021.9723394__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 .

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.

Mondelli, Marco, Seyyed Ali Hashemi, John M. Cioffi, and Andrea Goldsmith. “Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes.”https://doi.org/10.1109/TWC.2020.3022922__IEEE Transactions on Wireless Communications. IEEE, 2021.https://doi.org/10.1109/TWC.2020.3022922 .

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.”https://doi.org/10.1109/ISIT45174.2021.9518153__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 .