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52 Publications

2022 | Conference Paper | IST-REx-ID: 12011 | OA
Zhang, Yihan, Sidharth Jaggi, Michael Langberg, and Anand D. Sarwate. “The Capacity of Causal Adversarial Channels.” In 2022 IEEE International Symposium on Information Theory, 2022:2523–28. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834709.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12017
Yadav, Anuj Kumar, Mohammadreza Alimohammadi, Yihan Zhang, Amitalok J. Budkuley, and Sidharth Jaggi. “New Results on AVCs with Omniscient and Myopic Adversaries.” In 2022 IEEE International Symposium on Information Theory, 2022:2535–40. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/ISIT50566.2022.9834632.
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2022 | Conference Paper | IST-REx-ID: 12013
Joshi, Pranav, Amritakshya Purkayastha, Yihan Zhang, Amitalok J. Budkuley, and Sidharth Jaggi. “On the Capacity of Additive AVCs with Feedback.” In 2022 IEEE International Symposium on Information Theory, 2022:504–9. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834850.
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2022 | Conference Paper | IST-REx-ID: 12016 | OA
Fathollahi, Dorsa, and Marco Mondelli. “Polar Coded Computing: The Role of the Scaling Exponent.” In 2022 IEEE International Symposium on Information Theory, 2022:2154–59. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834712.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12012 | OA
Torkamani, Sahel, Javad B. Ebrahimi, Parastoo Sadeghi, Rafael G.L. D’Oliveira, and Muriel Médard. “Heterogeneous Differential Privacy via Graphs.” In 2022 IEEE International Symposium on Information Theory, 2022:1623–28. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834711.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12018
Zhang, Yihan, and Shashank Vatedka. “Lower Bounds on List Decoding Capacity Using Error Exponents.” 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.
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2022 | Conference Paper | IST-REx-ID: 12015
Zhang, Yihan, and Shashank Vatedka. “Lower Bounds for Multiple Packing.” In 2022 IEEE International Symposium on Information Theory, 2022:3085–90. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834443.
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2022 | Conference Paper | IST-REx-ID: 12014
Zhang, Yihan, and Shashank Vatedka. “List-Decodability of Poisson Point Processes.” In 2022 IEEE International Symposium on Information Theory, 2022:2559–64. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834512.
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2022 | Conference Paper | IST-REx-ID: 12019
Polyanskii, Nikita, and Yihan Zhang. “List-Decodable Zero-Rate Codes for the Z-Channel.” 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.
View | DOI
 
2022 | Conference Paper | IST-REx-ID: 12540 | OA
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.
[Published Version] View | Files available
 
2022 | Preprint | IST-REx-ID: 12536 | OA
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?” ArXiv, n.d. https://doi.org/10.48550/arXiv.2205.10009.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Preprint | IST-REx-ID: 12860 | OA
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.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2203.16701.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Journal Article | IST-REx-ID: 11639 | OA
Zhang, Yihan, and Shashank Vatedka. “List Decoding Random Euclidean Codes and Infinite Constellations.” IEEE Transactions on Information Theory. IEEE, 2022. https://doi.org/10.1109/TIT.2022.3189542.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Journal Article | IST-REx-ID: 12233 | OA
Doan, Nghia, Seyyed Ali Hashemi, Marco Mondelli, and Warren J. Gross. “Decoding Reed-Muller Codes with Successive Codeword Permutations.” IEEE Transactions on Communications. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/tcomm.2022.3211101.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Journal Article | IST-REx-ID: 12273 | OA
Zhang, Yihan, Shashank Vatedka, Sidharth Jaggi, and Anand D. Sarwate. “Quadratically Constrained Myopic Adversarial Channels.” IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/tit.2022.3167554.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Journal Article | IST-REx-ID: 10364 | OA
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Journal Article | IST-REx-ID: 12538 | OA
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.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12537 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2022 | Journal Article | IST-REx-ID: 12480 | OA
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.
[Published Version] View | Files available | DOI | WoS
 
2021 | Conference Paper | IST-REx-ID: 10595 | OA
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.
[Published Version] View | Download Published Version (ext.) | arXiv
 

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