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82 Publications


2025 | Published | Conference Paper | IST-REx-ID: 20033 | OA
M. Emrullah Ildiz, H. A. Gozeten, E. O. Taga, M. Mondelli, and S. Oymak, “High-dimensional analysis of knowledge distillation: Weak-to-Strong generalization and scaling laws,” in 13th International Conference on Learning Representations, Singapore, Singapore, 2025, pp. 2967–3006.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20035 | OA
A. Jacot, P. Súkeník, Z. Wang, and M. Mondelli, “Wide neural networks trained with weight decay provably exhibit neural collapse,” in 13th International Conference on Learning Representations, Singapore, Singapore, 2025, pp. 1905–1931.
[Published Version] View | Files available | arXiv
 

2025 | Epub ahead of print | Journal Article | IST-REx-ID: 20081 | OA
A. R. Esposito, M. Gastpar, and I. Issa, “Sibson α-mutual information and its variational representations,” IEEE Transactions on Information Theory. IEEE, 2025.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20300 | OA
T. Wegel, F. Kovačević, A. Ţifrea, and F. Yang, “Learning Pareto manifolds in high dimensions: How can regularization help?,” in The 28th International Conference on Artificial Intelligence and Statistics, Mai Khao, Thailand, 2025, vol. 258, pp. 4591–4599.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20667
A. El Latif Kadry, Y. Zhang, and N. Weinberger, “Mean estimation in high-dimensional binary timeinhomogeneous Markov Gaussian mixture models,” in 2025 IEEE International Symposium on Information Theory Proceedings, Ann Arbor, MI, United States, 2025.
View | DOI
 

2025 | Published | Journal Article | IST-REx-ID: 20734 | OA | PlanS
Y. Zhang, H. C. Ji, R. Venkataramanan, and M. Mondelli, “Spectral estimators for structured generalized linear models via approximate message passing,” Mathematical Statistics and Learning, vol. 8, no. 3–4. EMS Press, pp. 193–304, 2025.
[Published Version] View | Files available | DOI
 

2025 | Published | Journal Article | IST-REx-ID: 18986 | OA
J. Barbier, F. Camilli, Y. Xu, and M. Mondelli, “Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise,” Physical Review Research, vol. 7. American Physical Society, 2025.
[Published Version] View | Files available | DOI | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 19065 | OA | PlanS
M. Fornasier, T. Klock, M. Mondelli, and M. Rauchensteiner, “Efficient identification of wide shallow neural networks with biases,” Applied and Computational Harmonic Analysis, vol. 77. Elsevier, 2025.
[Published Version] View | Files available | DOI | WoS
 

2025 | Published | Conference Paper | IST-REx-ID: 19281 | OA
N. Resch, C. Yuan, and Y. Zhang, “Tight bounds on list-decodable and list-recoverable zero-rate codes,” in 16th Innovations in Theoretical Computer Science Conference, New York, NY, United States, 2025, vol. 325.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 19627 | OA
S. Bombari and M. Mondelli, “Privacy for free in the overparameterized regime,” Proceedings of the National Academy of Sciences, vol. 122, no. 15. National Academy of Sciences, 2025.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 21324 | OA
S. Bombari and M. Mondelli, “Spurious correlations in high dimensional regression: The roles of regularization, simplicity bias and over-parameterization,” in Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada, 2025, vol. 267, pp. 4839–4873.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 21325 | OA
H. A. Gozeten, M. E. Ildiz, X. Zhang, M. Soltanolkotabi, M. Mondelli, and S. Oymak, “Test-time training provably improves transformers as in-context learners,” in Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada, 2025, vol. 267, pp. 20266–20295.
[Published Version] View | Files available | PubMed | Europe PMC
 

2025 | Published | Conference Paper | IST-REx-ID: 21326 | OA
D. Wu and M. Mondelli, “Neural collapse beyond the unconstrained features model: Landscape, dynamics, and generalization in the mean-field regime,” in Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada, 2025, vol. 267, pp. 67499–67536.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 21328 | OA
F. Kovačević, Z. Yihan, and M. Mondelli, “Spectral estimators for multi-index models: Precise asymptotics and optimal weak recovery,” in Proceedings of 38th Conference on Learning Theory, Lyon, France, 2025, vol. 291, pp. 3354–3404.
[Published Version] View | Files available | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 14665 | OA
Y. Zhang and S. Vatedka, “Multiple packing: Lower bounds via error exponents,” IEEE Transactions on Information Theory, vol. 70, no. 2. IEEE, pp. 1008–1039, 2024.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 17893 | OA
L. Jin, A. R. Esposito, and M. Gastpar, “Properties of the strong data processing constant for Rényi divergence,” in Proceedings of the 2024 IEEE International Symposium on Information Theory, Athens, Greece, 2024, pp. 3178–3183.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 17894
A. R. Esposito, M. Gastpar, and I. Issa, “Variational characterizations of Sibson’s α-mutual information,” in Proceedings of the 2024 IEEE International Symposium on Information Theory , Athens, Greece, 2024, pp. 2110–2115.
View | DOI | WoS
 

2024 | Published | Conference Paper | IST-REx-ID: 17895
B. K. Dey, S. Jaggi, M. Langberg, A. D. Sarwate, and Y. Zhang, “Computationally efficient codes for strongly Dobrushin-Stambler nonsymmetrizable oblivious AVCs,” in Proceedings of the 2024 IEEE International Symposium on Information Theory , Athens, Greece, 2024, pp. 1586–1591.
View | DOI | WoS
 

2024 | Published | Journal Article | IST-REx-ID: 18652
B. K. Dey, S. Jaggi, M. Langberg, A. D. Sarwate, and Y. Zhang, “Codes for adversaries: Between worst-case and average-case jamming,” Foundations and Trends in Communications and Information Theory, vol. 21, no. 3–4. Now Publishers, pp. 300–588, 2024.
View | DOI
 

2024 | Published | Conference Paper | IST-REx-ID: 18890 | OA
D. Beaglehole, P. Súkeník, M. Mondelli, and M. Belkin, “Average gradient outer product as a mechanism for deep neural collapse,” in 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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