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71 Publications
2025 | Epub ahead of print | Journal Article | IST-REx-ID: 19065 | 
Fornasier, Massimo, Timo Klock, Marco Mondelli, and Michael Rauchensteiner. “Efficient Identification of Wide Shallow Neural Networks with Biases.” Applied and Computational Harmonic Analysis. Elsevier, 2025. https://doi.org/10.1016/j.acha.2025.101749.
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2025 | Published | Conference Paper | IST-REx-ID: 19281 |
Resch, Nicolas, Tight bounds on list-decodable and list-recoverable zero-rate codes. 16th Innovations in Theoretical Computer Science Conference 325. 2025
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2025 | Published | Journal Article | IST-REx-ID: 18986 |
Barbier, Jean, Francesco Camilli, Yizhou Xu, and Marco Mondelli. “Information Limits and Thouless-Anderson-Palmer Equations for Spiked Matrix Models with Structured Noise.” Physical Review Research. American Physical Society, 2025. https://doi.org/10.1103/PhysRevResearch.7.013081.
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2024 | Published | Conference Paper | IST-REx-ID: 17893 |
Jin, Lifu, Amedeo Roberto Esposito, and Michael Gastpar. “Properties of the Strong Data Processing Constant for Rényi Divergence.” In Proceedings of the 2024 IEEE International Symposium on Information Theory, 3178–83. Institute of Electrical and Electronics Engineers, 2024. https://doi.org/10.1109/ISIT57864.2024.10619367.
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2024 | Published | Conference Paper | IST-REx-ID: 17894
Esposito, Amedeo Roberto, Michael Gastpar, and Ibrahim Issa. “Variational Characterizations of Sibson’s α-Mutual Information.” In Proceedings of the 2024 IEEE International Symposium on Information Theory , 2110–15. Institute of Electrical and Electronics Engineers, 2024. https://doi.org/10.1109/ISIT57864.2024.10619378.
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2024 | Published | Conference Paper | IST-REx-ID: 17895
Dey, B. K., S. Jaggi, M. Langberg, A. D. Sarwate, and Yihan Zhang. “Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs.” In Proceedings of the 2024 IEEE International Symposium on Information Theory , 1586–91. Institute of Electrical and Electronics Engineers, 2024. https://doi.org/10.1109/ISIT57864.2024.10619362.
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2024 | Published | Journal Article | IST-REx-ID: 14665 |
Zhang, Yihan, and Shashank Vatedka. “Multiple Packing: Lower Bounds via Error Exponents.” IEEE Transactions on Information Theory. IEEE, 2024. https://doi.org/10.1109/TIT.2023.3334032.
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2024 | Published | Journal Article | IST-REx-ID: 18652
Dey, Bikash Kumar, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, and Yihan Zhang. “Codes for Adversaries: Between Worst-Case and Average-Case Jamming.” Foundations and Trends in Communications and Information Theory. Now Publishers, 2024. https://doi.org/10.1561/0100000112.
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2024 | Published | Journal Article | IST-REx-ID: 17330 |
Resch, Nicolas, Chen Yuan, and Yihan Zhang. “Zero-Rate Thresholds and New Capacity Bounds for List-Decoding and List-Recovery.” IEEE Transactions on Information Theory. IEEE, 2024. https://doi.org/10.1109/TIT.2024.3430842.
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2024 | Published | Conference Paper | IST-REx-ID: 19518 |
Wu, Diyuan, The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. 38th Conference on Neural Information Processing Systems 37. 2024
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2024 | Published | Conference Paper | IST-REx-ID: 18891 |
Súkeník, Peter, Neural collapse versus low-rank bias: Is deep neural collapse really optimal?. 38th Annual Conference on Neural Information Processing Systems 37. 2024
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2024 | Published | Conference Paper | IST-REx-ID: 18890 |
Beaglehole, Daniel, Average gradient outer product as a mechanism for deep neural collapse. 38th Annual Conference on Neural Information Processing Systems 37. 2024
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2024 | Published | Conference Paper | IST-REx-ID: 18973 |
Bombari, Simone, and Marco Mondelli. “Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features.” In 41st International Conference on Machine Learning, 235:4300–4328. ML Research Press, 2024.
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2024 | Published | Conference Paper | IST-REx-ID: 18972 |
Bombari, Simone, and Marco Mondelli. “How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features.” In 41st International Conference on Machine Learning, 235:4267–99. ML Research Press, 2024.
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2024 | Published | Journal Article | IST-REx-ID: 15172 |
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” IEEE Transactions on Information Theory. IEEE, 2024. https://doi.org/10.1109/TIT.2024.3367767.
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2024 | Published | Conference Paper | IST-REx-ID: 17147
Depope, Al, Marco Mondelli, and Matthew Richard Robinson. “Inference of Genetic Effects via Approximate Message Passing.” In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, 13151–55. IEEE, 2024. https://doi.org/10.1109/ICASSP48485.2024.10447198.
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2024 | Published | Conference Paper | IST-REx-ID: 18897 |
Pedrotti, Francesco, Jan Maas, and Marco Mondelli. “Improved Convergence of Score-Based Diffusion Models via Prediction-Correction.” In Transactions on Machine Learning Research, 2024.
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2024 | Draft | Preprint | IST-REx-ID: 17350 |
Pedrotti, Francesco, Jan Maas, and Marco Mondelli. “Improved Convergence of Score-Based Diffusion Models via Prediction-Correction.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2305.14164.
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2024 | Published | Thesis | IST-REx-ID: 17465 |
Shevchenko, Alexander. “High-Dimensional Limits in Artificial Neural Networks.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:17465.
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2024 | Published | Conference Paper | IST-REx-ID: 17469 |
Kögler, Kevin, Alexander Shevchenko, Hamed Hassani, and Marco Mondelli. “Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth.” In Proceedings of the 41st International Conference on Machine Learning, 235:24964–15. ML Research Press, 2024.
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