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78 Publications
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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| DOI
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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| arXiv
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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| arXiv
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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| arXiv
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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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18890 |
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]
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19518 |
D. Wu, I.-V. Modoranu, M. Safaryan, D. Kuznedelev, and D.-A. Alistarh, “The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18891 |
P. Súkeník, C. Lampert, and M. Mondelli, “Neural collapse versus low-rank bias: Is deep neural collapse really optimal?,” in 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Published Version]
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| arXiv
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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| WoS
| arXiv
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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| WoS
| arXiv
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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| 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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| arXiv
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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| WoS
2024 | Published | Conference Paper | IST-REx-ID: 17147 |
A. Depope, M. Mondelli, and M. R. Robinson, “Inference of genetic effects via approximate message passing,” in 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, Seoul, Korea, 2024, pp. 13151–13155.
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| WoS
2024 | Published | Thesis | IST-REx-ID: 17465 |
A. Shevchenko, “High-dimensional limits in artificial neural networks,” Institute of Science and Technology Austria, 2024.
[Published Version]
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| DOI
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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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 13269 |
N. Polyanskii and Y. Zhang, “Codes for the Z-channel,” IEEE Transactions on Information Theory, vol. 69, no. 10. Institute of Electrical and Electronics Engineers, pp. 6340–6357, 2023.
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| arXiv
2023 | Published | Journal Article | IST-REx-ID: 12838 |
Y. Zhang and S. Vatedka, “Multiple packing: Lower bounds via infinite constellations,” IEEE Transactions on Information Theory, vol. 69, no. 7. IEEE, pp. 4513–4527, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 13321 |
Y. Xu, T. Q. Hou, S. S. Liang, and M. Mondelli, “Approximate message passing for multi-layer estimation in rotationally invariant models,” in 2023 IEEE Information Theory Workshop, Saint-Malo, France, 2023, pp. 294–298.
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| arXiv