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50 Publications
2023 | Published | Journal Article | IST-REx-ID: 12838 | 
Zhang, Yihan, and Shashank Vatedka. “Multiple Packing: Lower Bounds via Infinite Constellations.” IEEE Transactions on Information Theory. IEEE, 2023. https://doi.org/10.1109/TIT.2023.3260950.
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| arXiv
2023 | Published | 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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| arXiv
2023 | Published | 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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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 13315 |
Barbier, Jean, Francesco Camilli, Marco Mondelli, and Manuel Sáenz. “Fundamental Limits in Structured Principal Component Analysis and How to Reach Them.” Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences, 2023. https://doi.org/10.1073/pnas.2302028120.
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| PubMed | Europe PMC
2023 | Published | 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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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14083 |
Resch, Nicolas, Chen Yuan, and Yihan Zhang. “Zero-Rate Thresholds and New Capacity Bounds for List-Decoding and List-Recovery.” In 50th International Colloquium on Automata, Languages, and Programming, Vol. 261. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023. https://doi.org/10.4230/LIPIcs.ICALP.2023.99.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14459 |
Shevchenko, Aleksandr, Kevin Kögler, Hamed Hassani, and Marco Mondelli. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” In Proceedings of the 40th International Conference on Machine Learning, 202:31151–209. ML Research Press, 2023.
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| arXiv
2023 | Epub ahead of print | 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 | Published | 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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| arXiv
2023 | In Press | 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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| arXiv
2023 | In Press | 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. IEEE, n.d. https://doi.org/10.1109/isit54713.2023.10206899.
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| arXiv
2023 | In Press | 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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| arXiv
2023 | Published | 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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| arXiv
2022 | Published | Journal Article | IST-REx-ID: 12273 |
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.
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| arXiv
2022 | Published | 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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2022 | Accepted | Preprint | IST-REx-ID: 12536 |
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.
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| arXiv
2022 | Published | 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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| arXiv
2022 | Published | 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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| arXiv
2022 | Published | 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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2022 | Submitted | Preprint | IST-REx-ID: 12860 |
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.
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