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71 Publications
2022 | Published | Conference Paper | IST-REx-ID: 12012 | 
Torkamani, Sahel, Heterogeneous differential privacy via graphs. 2022 IEEE International Symposium on Information Theory 2022. 2022
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2022 | Published | Conference Paper | IST-REx-ID: 12011 |
Zhang, Yihan, The capacity of causal adversarial channels. 2022 IEEE International Symposium on Information Theory 2022. 2022
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| arXiv
2022 | Published | Journal Article | IST-REx-ID: 10211 |
Mondelli, M., Thrampoulidis, C., & Venkataramanan, R. (2022). Optimal combination of linear and spectral estimators for generalized linear models. Foundations of Computational Mathematics. Springer. https://doi.org/10.1007/s10208-021-09531-x
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| arXiv
2022 | Published | Journal Article | IST-REx-ID: 10364 |
Hashemi, S. A., Mondelli, M., Fazeli, A., Vardy, A., Cioffi, J., & Goldsmith, A. (2022). Parallelism versus latency in simplified successive-cancellation decoding of polar codes. IEEE Transactions on Wireless Communications. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/TWC.2021.3125626
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12537 |
Bombari, Simone, Memorization and optimization in deep neural networks with minimum over-parameterization. 36th Conference on Neural Information Processing Systems 35. 2022
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12016 |
Fathollahi, Dorsa, Polar coded computing: The role of the scaling exponent. 2022 IEEE International Symposium on Information Theory 2022. 2022
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| arXiv
2022 | Published | Journal Article | IST-REx-ID: 12480 |
Mondelli, M., & Venkataramanan, R. (2022). Approximate message passing with spectral initialization for generalized linear models. Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing. https://doi.org/10.1088/1742-5468/ac9828
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2022 | Published | Conference Paper | IST-REx-ID: 12540 |
Venkataramanan, R., Kögler, K., & Mondelli, M. (2022). Estimation in rotationally invariant generalized linear models via approximate message passing. In Proceedings of the 39th International Conference on Machine Learning (Vol. 162). Baltimore, MD, United States: ML Research Press.
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2022 | Published | Journal Article | IST-REx-ID: 11420 |
Shevchenko, A., Kungurtsev, V., & Mondelli, M. (2022). Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. Journal of Machine Learning Research.
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 15254 |
Li, S., Bitar, R., Jaggi, S., & Zhang, Y. (2021). Network coding with myopic adversaries. IEEE Journal on Selected Areas in Information Theory. IEEE. https://doi.org/10.1109/JSAIT.2021.3126474
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2021 | Published | Journal Article | IST-REx-ID: 9002
Fazeli, A., Hassani, H., Mondelli, M., & Vardy, A. (2021). Binary linear codes with optimal scaling: Polar codes with large kernels. IEEE Transactions on Information Theory. IEEE. https://doi.org/10.1109/TIT.2020.3038806
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 9047 |
Mondelli, Marco, Sublinear latency for simplified successive cancellation decoding of polar codes. IEEE Transactions on Wireless Communications 20 (1). 2021
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10053 |
Hashemi, S. A., Mondelli, M., Fazeli, A., Vardy, A., Cioffi, J., & Goldsmith, A. (2021). Parallelism versus latency in simplified successive-cancellation decoding of polar codes. In 2021 IEEE International Symposium on Information Theory (pp. 2369–2374). Melbourne, Australia: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISIT45174.2021.9518153
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10593 |
Mondelli, M., & Venkataramanan, R. (2021). PCA initialization for approximate message passing in rotationally invariant models. In 35th Conference on Neural Information Processing Systems (Vol. 35, pp. 29616–29629). Virtual: Neural Information Processing Systems Foundation.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10594 |
Nguyen, Q., Bréchet, P., & Mondelli, M. (2021). When are solutions connected in deep networks? In 35th Conference on Neural Information Processing Systems (Vol. 35). Virtual: Neural Information Processing Systems Foundation.
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| arXiv