28 Publications

Mark all

[28]
2019 | Preprint | IST-REx-ID: 6748   OA
Javanmard, A., Mondelli, M., & Montanari, A. (2019). Analysis of a two-layer neural network via displacement convexity. ArXiv:1901.01375.
View | Download (ext.) | arXiv
 
[27]
2019 | Journal Article | IST-REx-ID: 6750   OA
Hashemi, S. A., Condo, C., Mondelli, M., & Gross, W. J. (2019). Rate-flexible fast polar decoders. IEEE Transactions on Signal Processing, 67(22). https://doi.org/10.1109/TSP.2019.2944738
View | DOI | Download (ext.) | arXiv
 
[26]
2019 | Journal Article | IST-REx-ID: 6662   OA
Mondelli, M., & Montanari, A. (2019). Fundamental limits of weak recovery with applications to phase retrieval. Foundations of Computational Mathematics, 19(3), 703–773. https://doi.org/10.1007/s10208-018-9395-y
View | DOI | Download (ext.) | arXiv
 
[25]
2019 | Journal Article | IST-REx-ID: 7007   OA
Mondelli, M., Hassani, S. H., & Urbanke, R. (2019). A new coding paradigm for the primitive relay channel. Algorithms, 12(10). https://doi.org/10.3390/a12100218
View | Files available | DOI | arXiv
 
[24]
2019 | Journal Article | IST-REx-ID: 6663
Mondelli, M., Hassani, H., & Urbanke, R. (2019). Construction of polar codes with sublinear complexity. IEEE, 65(5), 2782–2791. https://doi.org/10.1109/tit.2018.2889667
View | Files available | DOI | Download (ext.) | arXiv
 
[23]
2018 | Journal Article | IST-REx-ID: 6678
Mondelli, M., Hassani, H., & Urbanke, R. (2018). How to achieve the capacity of asymmetric channels. IEEE Transactions on Information Theory, 64(5), 3371–3393. https://doi.org/10.1109/tit.2018.2789885
View | Files available | DOI | Download (ext.) | arXiv
 
[22]
2018 | Journal Article | IST-REx-ID: 6674
Hashemi, S. A., Mondelli, M., Hassani, S. H., Condo, C., Urbanke, R. L., & Gross, W. J. (2018). Decoder partitioning: Towards practical list decoding of polar codes. IEEE Transactions on Communications, 66(9), 3749–3759. https://doi.org/10.1109/tcomm.2018.2832207
View | DOI
 
[21]
2018 | Conference Paper | IST-REx-ID: 6675
Mondelli, M., Hassani, H., & Urbanke, R. (2018). A new coding paradigm for the primitive relay channel. In 2018 IEEE International Symposium on Information Theory (pp. 351–355). Vail, CO, United States: IEEE. https://doi.org/10.1109/isit.2018.8437479
View | Files available | DOI | Download (ext.) | arXiv
 
[20]
2018 | Conference Paper | IST-REx-ID: 6664   OA
Hashemi, S. A., Doan, N., Mondelli, M., & Gross, W. (2018). Decoding Reed-Muller and polar codes by successive factor graph permutations. In 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (pp. 1–5). Hong Kong, China: IEEE. https://doi.org/10.1109/istc.2018.8625281
View | DOI | Download (ext.) | arXiv
 
[19]
2018 | Conference Paper | IST-REx-ID: 6665   OA
Fazeli, A., Hassani, H., Mondelli, M., & Vardy, A. (2018). Binary linear codes with optimal scaling: Polar codes with large kernels. In 2018 IEEE Information Theory Workshop (pp. 1–5). Guangzhou, China: IEEE. https://doi.org/10.1109/itw.2018.8613428
View | DOI | Download (ext.) | arXiv
 
[18]
2018 | Conference Paper | IST-REx-ID: 6728   OA
Doan, N., Hashemi, S. A., Mondelli, M., & Gross, W. J. (2018). On the decoding of polar codes on permuted factor graphs. In 2018 IEEE Global Communications Conference . Abu Dhabi, United Arab Emirates: IEEE. https://doi.org/10.1109/glocom.2018.8647308
View | DOI | Download (ext.) | arXiv
 
[17]
2018 | Preprint | IST-REx-ID: 6747   OA
Mondelli, M., & Montanari, A. (n.d.). On the connection between learning two-layers neural networks and tensor  decomposition. ArXiv:1802.07301.
View | Download (ext.) | arXiv
 
[16]
2017 | Conference Paper | IST-REx-ID: 6729   OA
Mondelli, M., Hassani, S. H., & Urbanke, R. (2017). Construction of polar codes with sublinear complexity. In 2017 IEEE International Symposium on Information Theory (pp. 1853–1857). Aachen, Germany: IEEE. https://doi.org/10.1109/isit.2017.8006850
View | Files available | DOI | Download (ext.) | arXiv
 
[15]
2017 | Conference Paper | IST-REx-ID: 6731   OA
Mondelli, M., Hassani, H., Maric, I., Hui, D., & Hong, S.-N. (2017). Capacity-achieving rate-compatible polar codes for general channels. In 2017 IEEE Wireless Communications and Networking Conference Workshops . San Francisco, CA, USA: IEEE. https://doi.org/10.1109/wcncw.2017.7919107
View | DOI | Download (ext.) | arXiv
 
[14]
2017 | Conference Paper | IST-REx-ID: 6679   OA
Hashemi, S. A., Mondelli, M., Hassani, H., Urbanke, R., & Gross, W. (2017). Partitioned list decoding of polar codes: Analysis and improvement of finite length performance. In 2017 IEEE Global Communications Conference (pp. 1–7). Singapore, Singapore: IEEE. https://doi.org/10.1109/glocom.2017.8254940
View | DOI | Download (ext.) | arXiv
 
[13]
2017 | Journal Article | IST-REx-ID: 6730   OA
Kudekar, S., Kumar, S., Mondelli, M., Pfister, H. D., Sasoglu, E., & Urbanke, R. L. (2017). Reed–Muller codes achieve capacity on erasure channels. IEEE Transactions on Information Theory, 63(7), 4298–4316. https://doi.org/10.1109/tit.2017.2673829
View | DOI | Download (ext.) | arXiv
 
[12]
2016 | Journal Article | IST-REx-ID: 6732   OA
Mondelli, M., Hassani, S. H., & Urbanke, R. L. (2016). Unified scaling of polar codes: Error exponent, scaling exponent, moderate deviations, and error floors. IEEE Transactions on Information Theory, 62(12), 6698–6712. https://doi.org/10.1109/tit.2016.2616117
View | DOI | Download (ext.) | arXiv
 
[11]
2016 | Conference Paper | IST-REx-ID: 6770
Mondelli, M., Kudekar, S., Kumar, S., Pfister, H. D., Şaşoğlu, E., & Urbanke, R. (2016). Reed-Muller codes: Thresholds and weight distribution. In 24th International Zurich Seminar on Communications (p. 50). Zurich, Switzerland: ETH Zürich. https://doi.org/10.3929/ETHZ-A-010646484
View | DOI
 
[10]
2016 | Conference Paper | IST-REx-ID: 6733   OA
Kudekar, S., Kumar, S., Mondelli, M., Pfister, H. D., & Urbankez, R. (2016). Comparing the bit-MAP and block-MAP decoding thresholds of Reed-Muller codes on BMS channels. In 2016 IEEE International Symposium on Information Theory (pp. 1755–1759). Barcelona, Spain: IEEE. https://doi.org/10.1109/isit.2016.7541600
View | DOI | Download (ext.) | arXiv
 
[9]
2015 | Journal Article | IST-REx-ID: 6736   OA
Mondelli, M., Hassani, H., & Urbanke, R. (2015). Scaling exponent of list decoders with applications to polar codes. IEEE Transactions on Information Theory, 61(9), 4838–4851. https://doi.org/10.1109/tit.2015.2453315
View | DOI | Download (ext.) | arXiv
 
[8]
2015 | Journal Article | IST-REx-ID: 6737   OA
Mondelli, M., Hassani, H., Sason, I., & Urbanke, R. (2015). Achieving Marton’s region for broadcast channels using polar codes. IEEE Transactions on Information Theory, 61(2), 783–800. https://doi.org/10.1109/tit.2014.2368555
View | DOI | Download (ext.) | arXiv
 
[7]
2014 | Journal Article | IST-REx-ID: 6744
Mondelli, M., Zhou, Q., Lottici, V., & Ma, X. (2014). Joint power allocation and path selection for multi-hop noncoherent decode and forward UWB communications. IEEE Transactions on Wireless Communications, 13(3), 1397–1409. https://doi.org/10.1109/twc.2014.020914.130669
View | DOI
 
[6]
2014 | Conference Paper | IST-REx-ID: 6740   OA
Mondelli, M., Urbanke, R., & Hassani, H. (2014). How to achieve the capacity of asymmetric channels. In 52nd Annual Allerton Conference on Communication, Control, and Computing (pp. 789–796). Monticello, IL, United States: IEEE. https://doi.org/10.1109/allerton.2014.7028535
View | Files available | DOI | Download (ext.) | arXiv
 
[5]
2014 | Journal Article | IST-REx-ID: 6739   OA
Mondelli, M., Hassani, H., & Urbanke, R. (2014). From polar to Reed-Muller codes: A technique to improve the finite-length performance. IEEE Transactions on Communications, 62(9), 3084–3091. https://doi.org/10.1109/tcomm.2014.2345069
View | DOI | Download (ext.) | arXiv
 
[4]
2013 | Journal Article | IST-REx-ID: 6768   OA
Mondelli, M. (2013). A finite difference scheme for the stack filter simulating the MCM. Image Processing On Line, 3, 68–111. https://doi.org/10.5201/ipol.2013.53
View | Files available | DOI
 
[3]
2012 | Conference Paper | IST-REx-ID: 6746
Mondelli, M., Zhou, Q., Ma, X., & Lottici, V. (2012). A cooperative approach for amplify-and-forward differential transmitted reference IR-UWB relay systems. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2905–2908). Kyoto, Japan: IEEE. https://doi.org/10.1109/icassp.2012.6288524
View | DOI
 
[2]
2011 | Conference Paper | IST-REx-ID: 6767
Mondelli, M., & Ciomaga, A. (2011). On finite difference schemes for curvature motions. In Proceedings of the International Student Conference on Pure and Applied Mathematics (pp. 137–156). Iasi, Romania: Editura Universitãtii „Alexandru Ioan Cuza” Iasi. https://doi.org/10.13140/2.1.1862.4646
View | DOI
 
[1]
2011 | Journal Article | IST-REx-ID: 6749   OA
Mondelli, M., & Ciomaga, A. (2011). Finite difference schemes for MCM and AMSS. Image Processing On Line, 1, 127–177. https://doi.org/10.5201/ipol.2011.cm_fds
View | Files available | DOI
 

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28 Publications

Mark all

[28]
2019 | Preprint | IST-REx-ID: 6748   OA
Javanmard, A., Mondelli, M., & Montanari, A. (2019). Analysis of a two-layer neural network via displacement convexity. ArXiv:1901.01375.
View | Download (ext.) | arXiv
 
[27]
2019 | Journal Article | IST-REx-ID: 6750   OA
Hashemi, S. A., Condo, C., Mondelli, M., & Gross, W. J. (2019). Rate-flexible fast polar decoders. IEEE Transactions on Signal Processing, 67(22). https://doi.org/10.1109/TSP.2019.2944738
View | DOI | Download (ext.) | arXiv
 
[26]
2019 | Journal Article | IST-REx-ID: 6662   OA
Mondelli, M., & Montanari, A. (2019). Fundamental limits of weak recovery with applications to phase retrieval. Foundations of Computational Mathematics, 19(3), 703–773. https://doi.org/10.1007/s10208-018-9395-y
View | DOI | Download (ext.) | arXiv
 
[25]
2019 | Journal Article | IST-REx-ID: 7007   OA
Mondelli, M., Hassani, S. H., & Urbanke, R. (2019). A new coding paradigm for the primitive relay channel. Algorithms, 12(10). https://doi.org/10.3390/a12100218
View | Files available | DOI | arXiv
 
[24]
2019 | Journal Article | IST-REx-ID: 6663
Mondelli, M., Hassani, H., & Urbanke, R. (2019). Construction of polar codes with sublinear complexity. IEEE, 65(5), 2782–2791. https://doi.org/10.1109/tit.2018.2889667
View | Files available | DOI | Download (ext.) | arXiv
 
[23]
2018 | Journal Article | IST-REx-ID: 6678
Mondelli, M., Hassani, H., & Urbanke, R. (2018). How to achieve the capacity of asymmetric channels. IEEE Transactions on Information Theory, 64(5), 3371–3393. https://doi.org/10.1109/tit.2018.2789885
View | Files available | DOI | Download (ext.) | arXiv
 
[22]
2018 | Journal Article | IST-REx-ID: 6674
Hashemi, S. A., Mondelli, M., Hassani, S. H., Condo, C., Urbanke, R. L., & Gross, W. J. (2018). Decoder partitioning: Towards practical list decoding of polar codes. IEEE Transactions on Communications, 66(9), 3749–3759. https://doi.org/10.1109/tcomm.2018.2832207
View | DOI
 
[21]
2018 | Conference Paper | IST-REx-ID: 6675
Mondelli, M., Hassani, H., & Urbanke, R. (2018). A new coding paradigm for the primitive relay channel. In 2018 IEEE International Symposium on Information Theory (pp. 351–355). Vail, CO, United States: IEEE. https://doi.org/10.1109/isit.2018.8437479
View | Files available | DOI | Download (ext.) | arXiv
 
[20]
2018 | Conference Paper | IST-REx-ID: 6664   OA
Hashemi, S. A., Doan, N., Mondelli, M., & Gross, W. (2018). Decoding Reed-Muller and polar codes by successive factor graph permutations. In 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing (pp. 1–5). Hong Kong, China: IEEE. https://doi.org/10.1109/istc.2018.8625281
View | DOI | Download (ext.) | arXiv
 
[19]
2018 | Conference Paper | IST-REx-ID: 6665   OA
Fazeli, A., Hassani, H., Mondelli, M., & Vardy, A. (2018). Binary linear codes with optimal scaling: Polar codes with large kernels. In 2018 IEEE Information Theory Workshop (pp. 1–5). Guangzhou, China: IEEE. https://doi.org/10.1109/itw.2018.8613428
View | DOI | Download (ext.) | arXiv
 
[18]
2018 | Conference Paper | IST-REx-ID: 6728   OA
Doan, N., Hashemi, S. A., Mondelli, M., & Gross, W. J. (2018). On the decoding of polar codes on permuted factor graphs. In 2018 IEEE Global Communications Conference . Abu Dhabi, United Arab Emirates: IEEE. https://doi.org/10.1109/glocom.2018.8647308
View | DOI | Download (ext.) | arXiv
 
[17]
2018 | Preprint | IST-REx-ID: 6747   OA
Mondelli, M., & Montanari, A. (n.d.). On the connection between learning two-layers neural networks and tensor  decomposition. ArXiv:1802.07301.
View | Download (ext.) | arXiv
 
[16]
2017 | Conference Paper | IST-REx-ID: 6729   OA
Mondelli, M., Hassani, S. H., & Urbanke, R. (2017). Construction of polar codes with sublinear complexity. In 2017 IEEE International Symposium on Information Theory (pp. 1853–1857). Aachen, Germany: IEEE. https://doi.org/10.1109/isit.2017.8006850
View | Files available | DOI | Download (ext.) | arXiv
 
[15]
2017 | Conference Paper | IST-REx-ID: 6731   OA
Mondelli, M., Hassani, H., Maric, I., Hui, D., & Hong, S.-N. (2017). Capacity-achieving rate-compatible polar codes for general channels. In 2017 IEEE Wireless Communications and Networking Conference Workshops . San Francisco, CA, USA: IEEE. https://doi.org/10.1109/wcncw.2017.7919107
View | DOI | Download (ext.) | arXiv
 
[14]
2017 | Conference Paper | IST-REx-ID: 6679   OA
Hashemi, S. A., Mondelli, M., Hassani, H., Urbanke, R., & Gross, W. (2017). Partitioned list decoding of polar codes: Analysis and improvement of finite length performance. In 2017 IEEE Global Communications Conference (pp. 1–7). Singapore, Singapore: IEEE. https://doi.org/10.1109/glocom.2017.8254940
View | DOI | Download (ext.) | arXiv
 
[13]
2017 | Journal Article | IST-REx-ID: 6730   OA
Kudekar, S., Kumar, S., Mondelli, M., Pfister, H. D., Sasoglu, E., & Urbanke, R. L. (2017). Reed–Muller codes achieve capacity on erasure channels. IEEE Transactions on Information Theory, 63(7), 4298–4316. https://doi.org/10.1109/tit.2017.2673829
View | DOI | Download (ext.) | arXiv
 
[12]
2016 | Journal Article | IST-REx-ID: 6732   OA
Mondelli, M., Hassani, S. H., & Urbanke, R. L. (2016). Unified scaling of polar codes: Error exponent, scaling exponent, moderate deviations, and error floors. IEEE Transactions on Information Theory, 62(12), 6698–6712. https://doi.org/10.1109/tit.2016.2616117
View | DOI | Download (ext.) | arXiv
 
[11]
2016 | Conference Paper | IST-REx-ID: 6770
Mondelli, M., Kudekar, S., Kumar, S., Pfister, H. D., Şaşoğlu, E., & Urbanke, R. (2016). Reed-Muller codes: Thresholds and weight distribution. In 24th International Zurich Seminar on Communications (p. 50). Zurich, Switzerland: ETH Zürich. https://doi.org/10.3929/ETHZ-A-010646484
View | DOI
 
[10]
2016 | Conference Paper | IST-REx-ID: 6733   OA
Kudekar, S., Kumar, S., Mondelli, M., Pfister, H. D., & Urbankez, R. (2016). Comparing the bit-MAP and block-MAP decoding thresholds of Reed-Muller codes on BMS channels. In 2016 IEEE International Symposium on Information Theory (pp. 1755–1759). Barcelona, Spain: IEEE. https://doi.org/10.1109/isit.2016.7541600
View | DOI | Download (ext.) | arXiv
 
[9]
2015 | Journal Article | IST-REx-ID: 6736   OA
Mondelli, M., Hassani, H., & Urbanke, R. (2015). Scaling exponent of list decoders with applications to polar codes. IEEE Transactions on Information Theory, 61(9), 4838–4851. https://doi.org/10.1109/tit.2015.2453315
View | DOI | Download (ext.) | arXiv
 
[8]
2015 | Journal Article | IST-REx-ID: 6737   OA
Mondelli, M., Hassani, H., Sason, I., & Urbanke, R. (2015). Achieving Marton’s region for broadcast channels using polar codes. IEEE Transactions on Information Theory, 61(2), 783–800. https://doi.org/10.1109/tit.2014.2368555
View | DOI | Download (ext.) | arXiv
 
[7]
2014 | Journal Article | IST-REx-ID: 6744
Mondelli, M., Zhou, Q., Lottici, V., & Ma, X. (2014). Joint power allocation and path selection for multi-hop noncoherent decode and forward UWB communications. IEEE Transactions on Wireless Communications, 13(3), 1397–1409. https://doi.org/10.1109/twc.2014.020914.130669
View | DOI
 
[6]
2014 | Conference Paper | IST-REx-ID: 6740   OA
Mondelli, M., Urbanke, R., & Hassani, H. (2014). How to achieve the capacity of asymmetric channels. In 52nd Annual Allerton Conference on Communication, Control, and Computing (pp. 789–796). Monticello, IL, United States: IEEE. https://doi.org/10.1109/allerton.2014.7028535
View | Files available | DOI | Download (ext.) | arXiv
 
[5]
2014 | Journal Article | IST-REx-ID: 6739   OA
Mondelli, M., Hassani, H., & Urbanke, R. (2014). From polar to Reed-Muller codes: A technique to improve the finite-length performance. IEEE Transactions on Communications, 62(9), 3084–3091. https://doi.org/10.1109/tcomm.2014.2345069
View | DOI | Download (ext.) | arXiv
 
[4]
2013 | Journal Article | IST-REx-ID: 6768   OA
Mondelli, M. (2013). A finite difference scheme for the stack filter simulating the MCM. Image Processing On Line, 3, 68–111. https://doi.org/10.5201/ipol.2013.53
View | Files available | DOI
 
[3]
2012 | Conference Paper | IST-REx-ID: 6746
Mondelli, M., Zhou, Q., Ma, X., & Lottici, V. (2012). A cooperative approach for amplify-and-forward differential transmitted reference IR-UWB relay systems. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2905–2908). Kyoto, Japan: IEEE. https://doi.org/10.1109/icassp.2012.6288524
View | DOI
 
[2]
2011 | Conference Paper | IST-REx-ID: 6767
Mondelli, M., & Ciomaga, A. (2011). On finite difference schemes for curvature motions. In Proceedings of the International Student Conference on Pure and Applied Mathematics (pp. 137–156). Iasi, Romania: Editura Universitãtii „Alexandru Ioan Cuza” Iasi. https://doi.org/10.13140/2.1.1862.4646
View | DOI
 
[1]
2011 | Journal Article | IST-REx-ID: 6749   OA
Mondelli, M., & Ciomaga, A. (2011). Finite difference schemes for MCM and AMSS. Image Processing On Line, 1, 127–177. https://doi.org/10.5201/ipol.2011.cm_fds
View | Files available | DOI
 

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