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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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Nguyen, Q., Mondelli, M., &; Montufar, G. F. (2021). Tight bounds on the smallest eigenvalue of the neural tangent kernel for deep ReLU networks. In M. Meila &; T. Zhang (Eds.), Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 8119–8129). Virtual: ML Research Press.

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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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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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Shevchenko, A., &; Mondelli, M. (2020). Landscape connectivity and dropout stability of SGD solutions for over-parameterized neural networks. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 8773–8784). ML Research Press.

Javanmard, A., Mondelli, M., &; Montanari, A. (2020). Analysis of a two-layer neural network via displacement convexity. Annals of Statistics. Institute of Mathematical Statistics.https://doi.org/10.1214/20-AOS1945 

Hashemi, S. A., Condo, C., Mondelli, M., &; Gross, W. J. (2019). Rate-flexible fast polar decoders. IEEE Transactions on Signal Processing. IEEE.https://doi.org/10.1109/TSP.2019.2944738 

Mondelli, M., Hassani, S. H., &; Urbanke, R. (2019). A new coding paradigm for the primitive relay channel. Algorithms. MDPI.https://doi.org/10.3390/a12100218