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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, Marco, Christos Thrampoulidis, and Ramji Venkataramanan. “Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models.” Foundations of Computational Mathematics. Springer, 2022. https://doi.org/10.1007/s10208-021-09531-x.
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| arXiv
2022 | Published | Journal Article | IST-REx-ID: 10364 |
Hashemi, Seyyed Ali, Marco Mondelli, Arman Fazeli, Alexander Vardy, John Cioffi, and Andrea Goldsmith. “Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes.” IEEE Transactions on Wireless Communications. Institute of Electrical and Electronics Engineers, 2022. 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, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing, 2022. https://doi.org/10.1088/1742-5468/ac9828.
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2022 | Published | Conference Paper | IST-REx-ID: 12540 |
Venkataramanan, Ramji, Kevin Kögler, and Marco Mondelli. “Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing.” In Proceedings of the 39th International Conference on Machine Learning, Vol. 162. ML Research Press, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 11420 |
Shevchenko, Alexander, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research. Journal of Machine Learning Research, 2022.
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 15254 |
Li, Sijie, Rawad Bitar, Sidharth Jaggi, and Yihan Zhang. “Network Coding with Myopic Adversaries.” IEEE Journal on Selected Areas in Information Theory. IEEE, 2021. https://doi.org/10.1109/JSAIT.2021.3126474.
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2021 | Published | Journal Article | IST-REx-ID: 9002
Fazeli, Arman, Hamed Hassani, Marco Mondelli, and Alexander Vardy. “Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels.” IEEE Transactions on Information Theory. IEEE, 2021. 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, Seyyed Ali, Marco Mondelli, Arman Fazeli, Alexander Vardy, John Cioffi, and Andrea Goldsmith. “Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes.” In 2021 IEEE International Symposium on Information Theory, 2369–74. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/ISIT45174.2021.9518153.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10593 |
Mondelli, Marco, and Ramji Venkataramanan. “PCA Initialization for Approximate Message Passing in Rotationally Invariant Models.” In 35th Conference on Neural Information Processing Systems, 35:29616–29. Neural Information Processing Systems Foundation, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10594 |
Nguyen, Quynh, Pierre Bréchet, and Marco Mondelli. “When Are Solutions Connected in Deep Networks?” In 35th Conference on Neural Information Processing Systems, Vol. 35. Neural Information Processing Systems Foundation, 2021.
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| arXiv