Concentration without independence via information measures
A.R. Esposito, M. Mondelli, IEEE Transactions on Information Theory (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/15172
DOI: 10.1109/TIT.2024.3367767
arXiv: 2303.07245

Zero-rate thresholds and new capacity bounds for list-decoding and list-recovery
N. Resch, C. Yuan, Y. Zhang, in:, 50th International Colloquium on Automata, Languages, and Programming, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14083
DOI: 10.4230/LIPIcs.ICALP.2023.99
arXiv: 2210.07754

Fundamental limits in structured principal component analysis and how to reach them
J. Barbier, F. Camilli, M. Mondelli, M. Sáenz, Proceedings of the National Academy of Sciences of the United States of America 120 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/13315
DOI: 10.1073/pnas.2302028120
PMID: 37463204

Fundamental limits of two-layer autoencoders, and achieving them with gradient methods
A. Shevchenko, K. Kögler, H. Hassani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 31151–31209.
LibreCat: https://research-explorer.ista.ac.at/record/14459
arXiv: 2212.13468

Multiple packing: Lower bounds via infinite constellations
Y. Zhang, S. Vatedka, IEEE Transactions on Information Theory 69 (2023) 4513–4527.
LibreCat: https://research-explorer.ista.ac.at/record/12838
DOI: 10.1109/TIT.2023.3260950
WoS: 001017307000023
arXiv: 2211.04407

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

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

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

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

Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels
S. Bombari, S. Kiyani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 2738–2776.
LibreCat: https://research-explorer.ista.ac.at/record/12859
arXiv: 2302.01629

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

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

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

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

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

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

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

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

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

Heterogeneous differential privacy via graphs
S. Torkamani, J.B. Ebrahimi, P. Sadeghi, R.G.L. D’Oliveira, M. Médard, in:, 2022 IEEE International Symposium on Information Theory, IEEE, 2022, pp. 1623–1628.
LibreCat: https://research-explorer.ista.ac.at/record/12012
DOI: 10.1109/ISIT50566.2022.9834711
arXiv: 2203.15429