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72 Publications

2025 | Epub ahead of print | Journal Article | IST-REx-ID: 19065 | OA
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.
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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 | 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 | 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 | PubMed | Europe PMC | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 17893 | OA
Jin, Lifu, et al. “Properties of the Strong Data Processing Constant for Rényi Divergence.” Proceedings of the 2024 IEEE International Symposium on Information Theory, Institute of Electrical and Electronics Engineers, 2024, pp. 3178–83, doi:10.1109/ISIT57864.2024.10619367.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 17894
Esposito, Amedeo Roberto, et al. “Variational Characterizations of Sibson’s α-Mutual Information.” Proceedings of the 2024 IEEE International Symposium on Information Theory , Institute of Electrical and Electronics Engineers, 2024, pp. 2110–15, doi:10.1109/ISIT57864.2024.10619378.
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2024 | Published | Conference Paper | IST-REx-ID: 17895
Dey, B. K., et al. “Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs.” Proceedings of the 2024 IEEE International Symposium on Information Theory , Institute of Electrical and Electronics Engineers, 2024, pp. 1586–91, doi:10.1109/ISIT57864.2024.10619362.
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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.) | 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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2024 | Published | Journal Article | IST-REx-ID: 17330 | OA
Resch, Nicolas, et al. “Zero-Rate Thresholds and New Capacity Bounds for List-Decoding and List-Recovery.” IEEE Transactions on Information Theory, vol. 70, no. 9, IEEE, 2024, pp. 6211–38, doi:10.1109/TIT.2024.3430842.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18973 | OA
Bombari, Simone, and Marco Mondelli. “Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features.” 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 4300–28.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18972 | OA
Bombari, Simone, and Marco Mondelli. “How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features.” 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 4267–99.
[Preprint] View | Download Preprint (ext.) | 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.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 17147
Depope, Al, et al. “Inference of Genetic Effects via Approximate Message Passing.” 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, 2024, pp. 13151–55, doi:10.1109/ICASSP48485.2024.10447198.
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2024 | Published | Conference Paper | IST-REx-ID: 18897 | OA
Pedrotti, Francesco, et al. “Improved Convergence of Score-Based Diffusion Models via Prediction-Correction.” Transactions on Machine Learning Research, 2024.
[Published Version] View | Files available | arXiv
 
2024 | Draft | Preprint | IST-REx-ID: 17350 | OA
Pedrotti, Francesco, et al. “Improved Convergence of Score-Based Diffusion Models via Prediction-Correction.” ArXiv, doi:10.48550/arXiv.2305.14164.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18890 | OA
Beaglehole, Daniel, et al. “Average Gradient Outer Product as a Mechanism for Deep Neural Collapse.” 38th Annual Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 19518 | OA
Wu, Diyuan, et al. “The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2024 | Published | Conference Paper | IST-REx-ID: 18891 | OA
Súkeník, Peter, et al. “Neural Collapse versus Low-Rank Bias: Is Deep Neural Collapse Really Optimal?” 38th Annual Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 
2024 | Published | Thesis | IST-REx-ID: 17465 | OA
Shevchenko, Alexander. High-Dimensional Limits in Artificial Neural Networks. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:17465.
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