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52 Publications
2023 | Conference Paper | IST-REx-ID: 13321 | 
Y. Xu, T. Q. Hou, S. S. Liang, and M. Mondelli, “Approximate message passing for multi-layer estimation in rotationally invariant models,” in 2023 IEEE Information Theory Workshop, Saint-Malo, France, 2023, pp. 294–298.
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| arXiv
2023 | Journal Article | IST-REx-ID: 14665 |
Y. Zhang and S. Vatedka, “Multiple packing: Lower bounds via error exponents,” IEEE Transactions on Information Theory. IEEE, 2023.
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| arXiv
2023 | Journal Article | IST-REx-ID: 14751 |
Y. Zhang, “Zero-error communication over adversarial MACs,” IEEE Transactions on Information Theory, vol. 69, no. 7. Institute of Electrical and Electronics Engineers, pp. 4093–4127, 2023.
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2023 | Journal Article | IST-REx-ID: 13269 |
N. Polyanskii and Y. Zhang, “Codes for the Z-channel,” IEEE Transactions on Information Theory, vol. 69, no. 10. Institute of Electrical and Electronics Engineers, pp. 6340–6357, 2023.
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| arXiv
2023 | Conference Paper | IST-REx-ID: 12859 |
S. Bombari, S. Kiyani, and M. 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, Honolulu, HI, United States, 2023, vol. 202, pp. 2738–2776.
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| arXiv
2023 | Conference Paper | IST-REx-ID: 14921 |
P. Súkeník, M. Mondelli, and C. Lampert, “Deep neural collapse is provably optimal for the deep unconstrained features model,” in 37th Annual Conference on Neural Information Processing Systems, New Orleans, LA, United States.
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| arXiv
2023 | Conference Paper | IST-REx-ID: 14924 |
D. Wu, V. Kungurtsev, and M. Mondelli, “Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence,” in Transactions on Machine Learning Research, 2023.
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| arXiv
2023 | Conference Paper | IST-REx-ID: 14923 |
T. Fu, Y. Liu, J. Barbier, M. Mondelli, S. Liang, and T. Hou, “Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise,” in Proceedings of 2023 IEEE International Symposium on Information Theory, Taipei, Taiwan.
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2023 | Conference Paper | IST-REx-ID: 14922 |
A. R. Esposito and M. Mondelli, “Concentration without independence via information measures,” in Proceedings of 2023 IEEE International Symposium on Information Theory, Taipei, Taiwan, 2023, pp. 400–405.
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2022 | Journal Article | IST-REx-ID: 11420 |
A. Shevchenko, V. Kungurtsev, and M. Mondelli, “Mean-field analysis of piecewise linear solutions for wide ReLU networks,” Journal of Machine Learning Research, vol. 23, no. 130. Journal of Machine Learning Research, pp. 1–55, 2022.
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