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85 Publications


2026 | Published | Journal Article | IST-REx-ID: 22228 | OA | PlanS
Zhang, Yihan, et al. “Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models.” SIAM Journal on Mathematics of Data Science, vol. 8, no. 2, Society for Industrial & Applied Mathematics, 2026, pp. 411–39, doi:10.1137/24m1702854.
[Published Version] View | Files available | DOI | arXiv
 

2026 | Published | Journal Article | IST-REx-ID: 20081 | OA
Esposito, Amedeo Roberto, et al. “Sibson α-Mutual Information and Its Variational Representations.” IEEE Transactions on Information Theory, vol. 72, no. 7, IEEE, 2026, pp. 4434–67, doi:10.1109/TIT.2025.3587340.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2026 | Published | Thesis | PhD | IST-REx-ID: 22258 | OA
Depope, Al. From Sparse Selection to Risk Prediction: Approximate Message Passing for Proteomic Survival Models and Large-Scale Genomics. Institute of Science and Technology Austria, 2026, doi:10.15479/AT-ISTA-22258.
[Published Version] View | Files available | DOI
 

2026 | Published | Journal Article | IST-REx-ID: 21488 | OA
Depope, Al, et al. “Joint Modeling of Whole-Genome Sequencing Data for Human Height via Approximate Message Passing.” Cell Genomics, vol. 6, no. 5, 101162, Elsevier, 2026, doi:10.1016/j.xgen.2026.101162.
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 

2025 | Published | Conference Paper | IST-REx-ID: 21324 | OA
Bombari, Simone, and Marco Mondelli. “Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and over-Parameterization.” Proceedings of the 42nd International Conference on Machine Learning, vol. 267, ML Research Press, 2025, pp. 4839–73.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 21325 | OA
Gozeten, Halil Alperen, et al. “Test-Time Training Provably Improves Transformers as in-Context Learners.” Proceedings of the 42nd International Conference on Machine Learning, vol. 267, ML Research Press, 2025, pp. 20266–95.
[Published Version] View | Files available | PubMed | Europe PMC
 

2025 | Published | Conference Paper | IST-REx-ID: 21326 | OA
Wu, Diyuan, and Marco Mondelli. “Neural Collapse beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime.” Proceedings of the 42nd International Conference on Machine Learning, vol. 267, ML Research Press, 2025, pp. 67499–536.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 21328 | OA
Kovačević, Filip, et al. “Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery.” Proceedings of 38th Conference on Learning Theory, vol. 291, ML Research Press, 2025, pp. 3354–404.
[Published Version] View | Files available | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 18986 | OA
Barbier, Jean, et al. “Information Limits and Thouless-Anderson-Palmer Equations for Spiked Matrix Models with Structured Noise.” Physical Review Research, vol. 7, 013081, American Physical Society, 2025, doi:10.1103/PhysRevResearch.7.013081.
[Published Version] View | Files available | DOI | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 19065 | OA | PlanS
Fornasier, Massimo, et al. “Efficient Identification of Wide Shallow Neural Networks with Biases.” Applied and Computational Harmonic Analysis, vol. 77, 101749, Elsevier, 2025, doi:10.1016/j.acha.2025.101749.
[Published Version] View | Files available | DOI | WoS
 

2025 | Published | Conference Paper | IST-REx-ID: 19281 | OA
Resch, Nicolas, et al. “Tight Bounds on List-Decodable and List-Recoverable Zero-Rate Codes.” 16th Innovations in Theoretical Computer Science Conference, vol. 325, 82, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2025, doi:10.4230/LIPIcs.ITCS.2025.82.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 19627 | OA
Bombari, Simone, and Marco Mondelli. “Privacy for Free in the Overparameterized Regime.” Proceedings of the National Academy of Sciences, vol. 122, no. 15, e2423072122, National Academy of Sciences, 2025, doi:10.1073/pnas.2423072122.
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20033 | OA
Emrullah Ildiz, M., et al. “High-Dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 2967–3006.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20035 | OA
Jacot, Arthur, et al. “Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 1905–31.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20300 | OA
Wegel, Tobias, et al. “Learning Pareto Manifolds in High Dimensions: How Can Regularization Help?” The 28th International Conference on Artificial Intelligence and Statistics, vol. 258, ML Research Press, 2025, pp. 4591–99.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20667
El Latif Kadry, Abd, et al. “Mean Estimation in High-Dimensional Binary Timeinhomogeneous Markov Gaussian Mixture Models.” 2025 IEEE International Symposium on Information Theory Proceedings, IEEE, 2025, doi:10.1109/ISIT63088.2025.11195426.
View | DOI
 

2025 | Published | Journal Article | IST-REx-ID: 20734 | OA | PlanS
Zhang, Yihan, et al. “Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing.” Mathematical Statistics and Learning, vol. 8, no. 3–4, EMS Press, 2025, pp. 193–304, doi:10.4171/MSL/52.
[Published Version] View | Files available | DOI
 

2024 | Published | Journal Article | IST-REx-ID: 14665 | OA
Zhang, Yihan, and Shashank Vatedka. “Multiple Packing: Lower Bounds via Error Exponents.” IEEE Transactions on Information Theory, vol. 70, no. 2, IEEE, 2024, pp. 1008–39, doi:10.1109/TIT.2023.3334032.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 15172 | OA
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” IEEE Transactions on Information Theory, vol. 70, no. 6, IEEE, 2024, pp. 3823–39, doi:10.1109/TIT.2024.3367767.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 18652
Dey, Bikash Kumar, et al. “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, 2024, pp. 300–588, doi:10.1561/0100000112.
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