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52 Publications
2023 | Conference Paper | IST-REx-ID: 13321 | 
Xu, Yizhou, Tian Qi Hou, Shan Suo Liang, and Marco Mondelli. “Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models.” In 2023 IEEE Information Theory Workshop, 294–98. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/ITW55543.2023.10160238.
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2023 | Journal Article | IST-REx-ID: 14665 |
Zhang, Yihan, and Shashank Vatedka. “Multiple Packing: Lower Bounds via Error Exponents.” IEEE Transactions on Information Theory. IEEE, 2023. https://doi.org/10.1109/TIT.2023.3334032.
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2023 | Journal Article | IST-REx-ID: 14751 |
Zhang, Yihan. “Zero-Error Communication over Adversarial MACs.” IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/tit.2023.3257239.
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2023 | Journal Article | IST-REx-ID: 13269 |
Polyanskii, Nikita, and Yihan Zhang. “Codes for the Z-Channel.” IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/TIT.2023.3292219.
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2023 | Conference Paper | IST-REx-ID: 12859 |
Bombari, Simone, Shayan Kiyani, and Marco Mondelli. “Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.” In Proceedings of the 40th International Conference on Machine Learning, 202:2738–76. ML Research Press, 2023.
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2023 | Conference Paper | IST-REx-ID: 14921 |
Súkeník, Peter, Marco Mondelli, and Christoph Lampert. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” In 37th Annual Conference on Neural Information Processing Systems, n.d.
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2023 | Conference Paper | IST-REx-ID: 14924 |
Wu, Diyuan, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis for Heavy Ball Methods: Dropout-Stability, Connectivity, and Global Convergence.” In Transactions on Machine Learning Research. ML Research Press, 2023.
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2023 | Conference Paper | IST-REx-ID: 14923 |
Fu, Teng, YuHao Liu, Jean Barbier, Marco Mondelli, ShanSuo Liang, and TianQi Hou. “Mismatched Estimation of Non-Symmetric Rank-One Matrices Corrupted by Structured Noise.” In Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE, n.d. https://doi.org/10.1109/isit54713.2023.10206671.
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2023 | Conference Paper | IST-REx-ID: 14922 |
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” In Proceedings of 2023 IEEE International Symposium on Information Theory, 400–405. IEEE, 2023. https://doi.org/10.1109/isit54713.2023.10206899.
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2022 | Journal Article | IST-REx-ID: 11420 |
Shevchenko, Aleksandr, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research. Journal of Machine Learning Research, 2022.
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2022 | Conference Paper | IST-REx-ID: 12011 |
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.
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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 |
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.
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2022 | Conference Paper | IST-REx-ID: 12012 |
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.
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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.
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2022 | Conference Paper | IST-REx-ID: 12540 |
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.
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