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52 Publications
2023 | Conference Paper | IST-REx-ID: 13321 | 
Xu, Y., Hou, T. Q., Liang, S. S., & Mondelli, M. (2023). Approximate message passing for multi-layer estimation in rotationally invariant models. In 2023 IEEE Information Theory Workshop (pp. 294–298). Saint-Malo, France: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ITW55543.2023.10160238
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| arXiv
2023 | Journal Article | IST-REx-ID: 14665 |
Zhang, Y., & Vatedka, S. (2023). Multiple packing: Lower bounds via error exponents. IEEE Transactions on Information Theory. IEEE. https://doi.org/10.1109/TIT.2023.3334032
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2023 | Journal Article | IST-REx-ID: 14751 |
Zhang, Y. (2023). Zero-error communication over adversarial MACs. IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tit.2023.3257239
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| arXiv
2023 | Journal Article | IST-REx-ID: 13269 |
Polyanskii, N., & Zhang, Y. (2023). Codes for the Z-channel. IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/TIT.2023.3292219
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| arXiv
2023 | Conference Paper | IST-REx-ID: 12859 |
Bombari, S., Kiyani, S., & Mondelli, M. (2023). 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 (Vol. 202, pp. 2738–2776). Honolulu, HI, United States: ML Research Press.
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| arXiv
2023 | Conference Paper | IST-REx-ID: 14921 |
Súkeník, P., Mondelli, M., & Lampert, C. (n.d.). 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 |
Wu, D., Kungurtsev, V., & Mondelli, M. (2023). Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence. In Transactions on Machine Learning Research. ML Research Press.
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| arXiv
2023 | Conference Paper | IST-REx-ID: 14923 |
Fu, T., Liu, Y., Barbier, J., Mondelli, M., Liang, S., & Hou, T. (n.d.). Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. In Proceedings of 2023 IEEE International Symposium on Information Theory. Taipei, Taiwan: IEEE. https://doi.org/10.1109/isit54713.2023.10206671
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2023 | Conference Paper | IST-REx-ID: 14922 |
Esposito, A. R., & Mondelli, M. (2023). Concentration without independence via information measures. In Proceedings of 2023 IEEE International Symposium on Information Theory (pp. 400–405). Taipei, Taiwan: IEEE. https://doi.org/10.1109/isit54713.2023.10206899
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2022 | Journal Article | IST-REx-ID: 11420 |
Shevchenko, A., Kungurtsev, V., & Mondelli, M. (2022). Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. Journal of Machine Learning Research.
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| arXiv
2022 | Conference Paper | IST-REx-ID: 12011 |
Zhang, Y., Jaggi, S., Langberg, M., & Sarwate, A. D. (2022). The capacity of causal adversarial channels. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 2523–2528). Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834709
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2022 | Conference Paper | IST-REx-ID: 12017
Yadav, A. K., Alimohammadi, M., Zhang, Y., Budkuley, A. J., & Jaggi, S. (2022). New results on AVCs with omniscient and myopic adversaries. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 2535–2540). Espoo, Finland: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISIT50566.2022.9834632
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2022 | Conference Paper | IST-REx-ID: 12013
Joshi, P., Purkayastha, A., Zhang, Y., Budkuley, A. J., & Jaggi, S. (2022). On the capacity of additive AVCs with feedback. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 504–509). Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834850
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2022 | Conference Paper | IST-REx-ID: 12016 |
Fathollahi, D., & Mondelli, M. (2022). Polar coded computing: The role of the scaling exponent. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 2154–2159). Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834712
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2022 | Conference Paper | IST-REx-ID: 12012 |
Torkamani, S., Ebrahimi, J. B., Sadeghi, P., D’Oliveira, R. G. L., & Médard, M. (2022). Heterogeneous differential privacy via graphs. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 1623–1628). Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834711
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2022 | Conference Paper | IST-REx-ID: 12018
Zhang, Y., & Vatedka, S. (2022). Lower bounds on list decoding capacity using error exponents. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 1324–1329). Espoo, Finland: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISIT50566.2022.9834815
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2022 | Conference Paper | IST-REx-ID: 12015
Zhang, Y., & Vatedka, S. (2022). Lower bounds for multiple packing. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 3085–3090). Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834443
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2022 | Conference Paper | IST-REx-ID: 12014
Zhang, Y., & Vatedka, S. (2022). List-decodability of Poisson Point Processes. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 2559–2564). Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834512
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2022 | Conference Paper | IST-REx-ID: 12019
Polyanskii, N., & Zhang, Y. (2022). List-decodable zero-rate codes for the Z-channel. In 2022 IEEE International Symposium on Information Theory (Vol. 2022, pp. 2553–2558). Espoo, Finland: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISIT50566.2022.9834829
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2022 | Conference Paper | IST-REx-ID: 12540 |
Venkataramanan, R., Kögler, K., & Mondelli, M. (2022). Estimation in rotationally invariant generalized linear models via approximate message passing. In Proceedings of the 39th International Conference on Machine Learning (Vol. 162). Baltimore, MD, United States: ML Research Press.
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