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71 Publications
2025 | Epub ahead of print | Journal Article | IST-REx-ID: 19065 | 
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.
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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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| arXiv
2025 | Published | Journal Article | IST-REx-ID: 18986 |
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.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 17893 |
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.
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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.
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2024 | Published | Journal Article | IST-REx-ID: 14665 |
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.
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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.
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2024 | Published | Journal Article | IST-REx-ID: 17330 |
N. Resch, C. Yuan, and Y. Zhang, “Zero-rate thresholds and new capacity bounds for list-decoding and list-recovery,” IEEE Transactions on Information Theory, vol. 70, no. 9. IEEE, pp. 6211–6238, 2024.
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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 |
S. Bombari and M. Mondelli, “Towards understanding the word sensitivity of attention layers: A study via random features,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 4300–4328.
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2024 | Published | Conference Paper | IST-REx-ID: 18972 |
S. Bombari and M. Mondelli, “How spurious features are memorized: Precise analysis for random and NTK features,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 4267–4299.
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2024 | Published | Journal Article | IST-REx-ID: 15172 |
A. R. Esposito and M. Mondelli, “Concentration without independence via information measures,” IEEE Transactions on Information Theory, vol. 70, no. 6. IEEE, pp. 3823–3839, 2024.
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2024 | Published | Conference Paper | IST-REx-ID: 18897 |
F. Pedrotti, J. Maas, and M. 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 |
F. Pedrotti, J. Maas, and M. Mondelli, “Improved convergence of score-based diffusion models via prediction-correction,” arXiv. .
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2024 | Published | Thesis | IST-REx-ID: 17465 |
A. Shevchenko, “High-dimensional limits in artificial neural networks,” Institute of Science and Technology Austria, 2024.
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2024 | Published | Conference Paper | IST-REx-ID: 17469 |
K. Kögler, A. Shevchenko, H. Hassani, and M. Mondelli, “Compression of structured data with autoencoders: Provable benefit of nonlinearities and depth,” in Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 24964–25015.
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