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61 Publications

2024 | Published | Conference Paper | IST-REx-ID: 17469 | OA
Compression of structured data with autoencoders: Provable benefit of nonlinearities and depth
K. Kögler, A. Shevchenko, H. Hassani, M. Mondelli, in:, Proceedings of the 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 24964–25015.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2024 | Published | Thesis | IST-REx-ID: 17465 | OA
High-dimensional limits in artificial neural networks
A. Shevchenko, High-Dimensional Limits in Artificial Neural Networks, Institute of Science and Technology Austria, 2024.
[Published Version] View | Files available | DOI
 
2024 | Published | Conference Paper | IST-REx-ID: 17147
Inference of genetic effects via approximate message passing
A. Depope, M. Mondelli, M.R. Robinson, in:, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, 2024, pp. 13151–13155.
View | DOI
 
2024 | Epub ahead of print | Journal Article | IST-REx-ID: 17330
Zero-rate thresholds and new capacity bounds for list-decoding and list-recovery
N. Resch, C. Yuan, Y. Zhang, IEEE Transactions on Information Theory (2024).
[Preprint] View | Files available | DOI | arXiv
 
2024 | Submitted | Preprint | IST-REx-ID: 17350 | OA [Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 17893 | OA
Properties of the strong data processing constant for Rényi divergence
L. Jin, A.R. Esposito, M. Gastpar, in:, Proceedings of the 2024 IEEE International Symposium on Information Theory, Institute of Electrical and Electronics Engineers, 2024, pp. 3178–3183.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 17894
Variational characterizations of Sibson's α-mutual information
A.R. Esposito, M. Gastpar, I. Issa, in:, Proceedings of the 2024 IEEE International Symposium on Information Theory , Institute of Electrical and Electronics Engineers, 2024, pp. 2110–2115.
View | DOI
 
2024 | Published | Conference Paper | IST-REx-ID: 17895
Computationally efficient codes for strongly Dobrushin-Stambler nonsymmetrizable oblivious AVCs
B.K. Dey, S. Jaggi, M. Langberg, A.D. Sarwate, Y. Zhang, in:, Proceedings of the 2024 IEEE International Symposium on Information Theory , Institute of Electrical and Electronics Engineers, 2024, pp. 1586–1591.
View | DOI
 
2024 | Published | Journal Article | IST-REx-ID: 14665 | OA
Multiple packing: Lower bounds via error exponents
Y. Zhang, S. Vatedka, IEEE Transactions on Information Theory 70 (2024) 1008–1039.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Journal Article | IST-REx-ID: 15172 | OA
Concentration without independence via information measures
A.R. Esposito, M. Mondelli, IEEE Transactions on Information Theory 70 (2024) 3823–3839.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14459 | OA
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.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 13269 | OA
Codes for the Z-channel
N. Polyanskii, Y. Zhang, IEEE Transactions on Information Theory 69 (2023) 6340–6357.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 13315 | OA
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).
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
2023 | Published | Conference Paper | IST-REx-ID: 13321 | OA
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.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14083 | OA
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.
[Published Version] View | Files available | DOI | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 12838 | OA
Multiple packing: Lower bounds via infinite constellations
Y. Zhang, S. Vatedka, IEEE Transactions on Information Theory 69 (2023) 4513–4527.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 12859 | OA
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.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 14751 | OA
Zero-error communication over adversarial MACs
Y. Zhang, IEEE Transactions on Information Theory 69 (2023) 4093–4127.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14921 | OA
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, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14922 | OA
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

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