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61 Publications
2023 |Published| Conference Paper | IST-REx-ID: 14922 |
A. R. Esposito and M. Mondelli, “Concentration without independence via information measures,” in Proceedings of 2023 IEEE International Symposium on Information Theory, Taipei, Taiwan, 2023, pp. 400–405.
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| arXiv
2023 |Published| Conference Paper | IST-REx-ID: 14459 |
A. Shevchenko, K. Kögler, H. Hassani, and M. Mondelli, “Fundamental limits of two-layer autoencoders, and achieving them with gradient methods,” in Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, HI, United States, 2023, vol. 202, pp. 31151–31209.
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| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 12011 |
Y. Zhang, S. Jaggi, M. Langberg, and A. D. Sarwate, “The capacity of causal adversarial channels,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2523–2528.
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| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 12017
A. K. Yadav, M. Alimohammadi, Y. Zhang, A. J. Budkuley, and S. Jaggi, “New results on AVCs with omniscient and myopic adversaries,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2535–2540.
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2022 |Published| Conference Paper | IST-REx-ID: 12016 |
D. Fathollahi and M. Mondelli, “Polar coded computing: The role of the scaling exponent,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2154–2159.
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| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 12012 |
S. Torkamani, J. B. Ebrahimi, P. Sadeghi, R. G. L. D’Oliveira, and M. Médard, “Heterogeneous differential privacy via graphs,” in 2022 IEEE International Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 1623–1628.
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| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 12540 |
R. Venkataramanan, K. Kögler, and M. Mondelli, “Estimation in rotationally invariant generalized linear models via approximate message passing,” in Proceedings of the 39th International Conference on Machine Learning, Baltimore, MD, United States, 2022, vol. 162.
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2022 |Submitted| Preprint | IST-REx-ID: 12860 |
S. Bombari et al., “Towards differential relational privacy and its use in question answering,” arXiv. .
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 11639 |
Y. Zhang and S. Vatedka, “List decoding random Euclidean codes and Infinite constellations,” IEEE Transactions on Information Theory, vol. 68, no. 12. IEEE, pp. 7753–7786, 2022.
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 12233 |
N. Doan, S. A. Hashemi, M. Mondelli, and W. J. Gross, “Decoding Reed-Muller codes with successive codeword permutations,” IEEE Transactions on Communications, vol. 70, no. 11. Institute of Electrical and Electronics Engineers, pp. 7134–7145, 2022.
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 12273 |
Y. Zhang, S. Vatedka, S. Jaggi, and A. D. Sarwate, “Quadratically constrained myopic adversarial channels,” IEEE Transactions on Information Theory, vol. 68, no. 8. Institute of Electrical and Electronics Engineers, pp. 4901–4948, 2022.
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 10364 |
S. A. Hashemi, M. Mondelli, A. Fazeli, A. Vardy, J. Cioffi, and A. Goldsmith, “Parallelism versus latency in simplified successive-cancellation decoding of polar codes,” IEEE Transactions on Wireless Communications, vol. 21, no. 6. Institute of Electrical and Electronics Engineers, pp. 3909–3920, 2022.
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 12538 |
M. H. Amani, S. Bombari, M. Mondelli, R. Pukdee, and S. Rini, “Sharp asymptotics on the compression of two-layer neural networks,” IEEE Information Theory Workshop. IEEE, pp. 588–593, 2022.
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| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 12537 |
S. Bombari, M. H. Amani, and M. Mondelli, “Memorization and optimization in deep neural networks with minimum over-parameterization,” in 36th Conference on Neural Information Processing Systems, 2022, vol. 35, pp. 7628–7640.
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| arXiv
2022 |Published| Journal Article | IST-REx-ID: 12480 |
M. Mondelli and R. Venkataramanan, “Approximate message passing with spectral initialization for generalized linear models,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2022, no. 11. IOP Publishing, 2022.
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2022 |Published| Journal Article | IST-REx-ID: 10211 |
M. Mondelli, C. Thrampoulidis, and R. Venkataramanan, “Optimal combination of linear and spectral estimators for generalized linear models,” Foundations of Computational Mathematics, vol. 22, no. 5. Springer, pp. 1513–1566, 2022.
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