Xu Y, Hou TQ, Liang SS, Mondelli M. Approximate message passing for multi-layer estimation in rotationally invariant models. In: 2023 IEEE Information Theory Workshop. Institute of Electrical and Electronics Engineers; 2023:294-298. doi:10.1109/ITW55543.2023.10160238
LibreCat: https://research-explorer.ista.ac.at/record/13321
DOI: 10.1109/ITW55543.2023.10160238
WoS: 001031733100053
arXiv: 2212.01572

Zhang Y, Vatedka S. Multiple packing: Lower bounds via error exponents. IEEE Transactions on Information Theory. 2023. doi:10.1109/TIT.2023.3334032
LibreCat: https://research-explorer.ista.ac.at/record/14665
DOI: 10.1109/TIT.2023.3334032
arXiv: 2211.04408

Zhang Y. Zero-error communication over adversarial MACs. IEEE Transactions on Information Theory. 2023;69(7):4093-4127. doi:10.1109/tit.2023.3257239
LibreCat: https://research-explorer.ista.ac.at/record/14751
DOI: 10.1109/tit.2023.3257239
arXiv: 2101.12426

Polyanskii N, Zhang Y. Codes for the Z-channel. IEEE Transactions on Information Theory. 2023;69(10):6340-6357. doi:10.1109/TIT.2023.3292219
LibreCat: https://research-explorer.ista.ac.at/record/13269
DOI: 10.1109/TIT.2023.3292219
WoS: 001069680100011
arXiv: 2105.01427

Bombari S, Kiyani S, Mondelli M. 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. ML Research Press; 2023:2738-2776.
LibreCat: https://research-explorer.ista.ac.at/record/12859
arXiv: 2302.01629

Súkeník P, Mondelli M, Lampert C. Deep neural collapse is provably optimal for the deep unconstrained features model. In: 37th Annual Conference on Neural Information Processing Systems.
LibreCat: https://research-explorer.ista.ac.at/record/14921
arXiv: 2305.13165

Wu D, Kungurtsev V, Mondelli M. Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence. In: Transactions on Machine Learning Research. ML Research Press; 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14924
arXiv: 2210.06819

Fu T, Liu Y, Barbier J, Mondelli M, Liang S, Hou T. Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise. In: Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE. doi:10.1109/isit54713.2023.10206671
LibreCat: https://research-explorer.ista.ac.at/record/14923
DOI: 10.1109/isit54713.2023.10206671
arXiv: 2302.03306

Esposito AR, Mondelli M. Concentration without independence via information measures. In: Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE; 2023:400-405. doi:10.1109/isit54713.2023.10206899
LibreCat: https://research-explorer.ista.ac.at/record/14922
DOI: 10.1109/isit54713.2023.10206899
arXiv: 2303.07245

Shevchenko A, Kungurtsev V, Mondelli M. Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. 2022;23(130):1-55.
LibreCat: https://research-explorer.ista.ac.at/record/11420
arXiv: 2111.02278

Zhang Y, Jaggi S, Langberg M, Sarwate AD. The capacity of causal adversarial channels. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE; 2022:2523-2528. doi:10.1109/ISIT50566.2022.9834709
LibreCat: https://research-explorer.ista.ac.at/record/12011
DOI: 10.1109/ISIT50566.2022.9834709
arXiv: 2205.06708

Yadav AK, Alimohammadi M, Zhang Y, Budkuley AJ, Jaggi S. New results on AVCs with omniscient and myopic adversaries. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. Institute of Electrical and Electronics Engineers; 2022:2535-2540. doi:10.1109/ISIT50566.2022.9834632
LibreCat: https://research-explorer.ista.ac.at/record/12017
DOI: 10.1109/ISIT50566.2022.9834632

Joshi P, Purkayastha A, Zhang Y, Budkuley AJ, Jaggi S. On the capacity of additive AVCs with feedback. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE; 2022:504-509. doi:10.1109/ISIT50566.2022.9834850
LibreCat: https://research-explorer.ista.ac.at/record/12013
DOI: 10.1109/ISIT50566.2022.9834850

Fathollahi D, Mondelli M. Polar coded computing: The role of the scaling exponent. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE; 2022:2154-2159. doi:10.1109/ISIT50566.2022.9834712
LibreCat: https://research-explorer.ista.ac.at/record/12016
DOI: 10.1109/ISIT50566.2022.9834712
arXiv: 2201.10082

Torkamani S, Ebrahimi JB, Sadeghi P, D’Oliveira RGL, Médard M. Heterogeneous differential privacy via graphs. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE; 2022:1623-1628. doi:10.1109/ISIT50566.2022.9834711
LibreCat: https://research-explorer.ista.ac.at/record/12012
DOI: 10.1109/ISIT50566.2022.9834711
arXiv: 2203.15429

Zhang Y, Vatedka S. Lower bounds on list decoding capacity using error exponents. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. Institute of Electrical and Electronics Engineers; 2022:1324-1329. doi:10.1109/ISIT50566.2022.9834815
LibreCat: https://research-explorer.ista.ac.at/record/12018
DOI: 10.1109/ISIT50566.2022.9834815

Zhang Y, Vatedka S. Lower bounds for multiple packing. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE; 2022:3085-3090. doi:10.1109/ISIT50566.2022.9834443
LibreCat: https://research-explorer.ista.ac.at/record/12015
DOI: 10.1109/ISIT50566.2022.9834443

Zhang Y, Vatedka S. List-decodability of Poisson Point Processes. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE; 2022:2559-2564. doi:10.1109/ISIT50566.2022.9834512
LibreCat: https://research-explorer.ista.ac.at/record/12014
DOI: 10.1109/ISIT50566.2022.9834512

Polyanskii N, Zhang Y. List-decodable zero-rate codes for the Z-channel. In: 2022 IEEE International Symposium on Information Theory. Vol 2022. Institute of Electrical and Electronics Engineers; 2022:2553-2558. doi:10.1109/ISIT50566.2022.9834829
LibreCat: https://research-explorer.ista.ac.at/record/12019
DOI: 10.1109/ISIT50566.2022.9834829

Venkataramanan R, Kögler K, Mondelli M. 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.
LibreCat: https://research-explorer.ista.ac.at/record/12540