Marco Mondelli

Mondelli Group

60 Publications

Mark all

[60]
2024 | Journal Article | IST-REx-ID: 15172
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” IEEE Transactions on Information Theory. IEEE, n.d. https://doi.org/10.1109/TIT.2024.3367767.
View | Files available | DOI | arXiv
 
[59]
2023 | Journal Article | IST-REx-ID: 13315 | OA
Barbier, Jean, Francesco Camilli, Marco Mondelli, and Manuel Sáenz. “Fundamental Limits in Structured Principal Component Analysis and How to Reach Them.” Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences, 2023. https://doi.org/10.1073/pnas.2302028120.
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[58]
2023 | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko, Aleksandr, Kevin Kögler, Hamed Hassani, and Marco Mondelli. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” In Proceedings of the 40th International Conference on Machine Learning, 202:31151–209. ML Research Press, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[57]
2023 | Conference Paper | IST-REx-ID: 13321 | OA
Xu, Yizhou, Tian Qi Hou, Shan Suo Liang, and Marco Mondelli. “Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models.” In 2023 IEEE Information Theory Workshop, 294–98. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/ITW55543.2023.10160238.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[56]
2023 | Conference Paper | IST-REx-ID: 12859 | OA
Bombari, Simone, Shayan Kiyani, and Marco Mondelli. “Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.” In Proceedings of the 40th International Conference on Machine Learning, 202:2738–76. ML Research Press, 2023.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[55]
2023 | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník, Peter, Marco Mondelli, and Christoph Lampert. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” In 37th Annual Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[54]
2023 | Conference Paper | IST-REx-ID: 14924 | OA
Wu, Diyuan, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis for Heavy Ball Methods: Dropout-Stability, Connectivity, and Global Convergence.” In Transactions on Machine Learning Research. ML Research Press, 2023.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[53]
2023 | Conference Paper | IST-REx-ID: 14923 | OA
Fu, Teng, YuHao Liu, Jean Barbier, Marco Mondelli, ShanSuo Liang, and TianQi Hou. “Mismatched Estimation of Non-Symmetric Rank-One Matrices Corrupted by Structured Noise.” In Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE, n.d. https://doi.org/10.1109/isit54713.2023.10206671.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[52]
2023 | Conference Paper | IST-REx-ID: 14922 | OA
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” In Proceedings of 2023 IEEE International Symposium on Information Theory, 400–405. IEEE, 2023. https://doi.org/10.1109/isit54713.2023.10206899.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[51]
2022 | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko, Aleksandr, 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.
[Published Version] View | Files available | arXiv
 
[50]
2022 | Conference Paper | IST-REx-ID: 12016 | OA
Fathollahi, Dorsa, and Marco Mondelli. “Polar Coded Computing: The Role of the Scaling Exponent.” In 2022 IEEE International Symposium on Information Theory, 2022:2154–59. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834712.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[49]
2022 | Conference Paper | IST-REx-ID: 12540 | OA
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.
[Published Version] View | Files available
 
[48]
2022 | Preprint | IST-REx-ID: 12536 | OA
Barbier, Jean, TianQi Hou, Marco Mondelli, and Manuel Saenz. “The Price of Ignorance: How Much Does It Cost to Forget Noise Structure in Low-Rank Matrix Estimation?” ArXiv, n.d. https://doi.org/10.48550/arXiv.2205.10009.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[47]
2022 | Journal Article | IST-REx-ID: 12233 | OA
Doan, Nghia, Seyyed Ali Hashemi, Marco Mondelli, and Warren J. Gross. “Decoding Reed-Muller Codes with Successive Codeword Permutations.” IEEE Transactions on Communications. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/tcomm.2022.3211101.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[46]
2022 | Journal Article | IST-REx-ID: 10364 | OA
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[45]
2022 | Journal Article | IST-REx-ID: 12538 | OA
Amani, Mohammad Hossein, Simone Bombari, Marco Mondelli, Rattana Pukdee, and Stefano Rini. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop. IEEE, 2022. https://doi.org/10.1109/ITW54588.2022.9965870.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[44]
2022 | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, Simone, Mohammad Hossein Amani, and Marco Mondelli. “Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization.” In 36th Conference on Neural Information Processing Systems, 35:7628–40. Curran Associates, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[43]
2022 | Journal Article | IST-REx-ID: 12480 | OA
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.
[Published Version] View | Files available | DOI | WoS
 
[42]
2021 | Conference Paper | IST-REx-ID: 10595 | OA
Nguyen, Quynh, Marco Mondelli, and Guido F Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, edited by Marina Meila and Tong Zhang, 139:8119–29. ML Research Press, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[41]
2021 | Conference Paper | IST-REx-ID: 10599 | OA
Hashemi, Seyyed Ali, Marco Mondelli, John Cioffi, and Andrea Goldsmith. “Successive Syndrome-Check Decoding of Polar Codes.” In Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021–October:943–47. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/IEEECONF53345.2021.9723394.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[40]
2021 | Conference Paper | IST-REx-ID: 13146 | OA
Nguyen, Quynh, Marco Mondelli, and Guido Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, 139:8119–29. ML Research Press, 2021.
[Published Version] View | Files available | arXiv
 
[39]
2021 | Journal Article | IST-REx-ID: 9047 | OA
Mondelli, Marco, Seyyed Ali Hashemi, John M. Cioffi, and Andrea Goldsmith. “Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes.” IEEE Transactions on Wireless Communications. IEEE, 2021. https://doi.org/10.1109/TWC.2020.3022922.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[38]
2021 | Conference Paper | IST-REx-ID: 10053 | OA
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[37]
2021 | Conference Paper | IST-REx-ID: 10597 | OA
Fathollahi, Dorsa, Nariman Farsad, Seyyed Ali Hashemi, and Marco Mondelli. “Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes.” In 2021 IEEE International Symposium on Information Theory, 1082–87. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/isit45174.2021.9517887.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[36]
2021 | Journal Article | IST-REx-ID: 10211 | OA
Mondelli, Marco, Christos Thrampoulidis, and Ramji Venkataramanan. “Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models.” Foundations of Computational Mathematics. Springer, 2021. https://doi.org/10.1007/s10208-021-09531-x.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[35]
2021 | Conference Paper | IST-REx-ID: 10593 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[34]
2021 | Conference Paper | IST-REx-ID: 10594 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[33]
2021 | Conference Paper | IST-REx-ID: 10598 | OA
Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, edited by Arindam Banerjee and Kenji Fukumizu, 130:397–405. ML Research Press, 2021.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[32]
2021 | 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.
[Preprint] View | Files available | DOI | arXiv
 
[31]
2020 | Conference Paper | IST-REx-ID: 9221 | OA
Nguyen, Quynh, and Marco Mondelli. “Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology.” In 34th Conference on Neural Information Processing Systems, 33:11961–11972. Curran Associates, 2020.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[30]
2020 | Conference Paper | IST-REx-ID: 8536 | OA
Mondelli, Marco, Seyyed Ali Hashemi, John Cioffi, and Andrea Goldsmith. “Simplified Successive Cancellation Decoding of Polar Codes Has Sublinear Latency.” In IEEE International Symposium on Information Theory - Proceedings, Vol. 2020–June. IEEE, 2020. https://doi.org/10.1109/ISIT44484.2020.9174141.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[29]
2020 | Conference Paper | IST-REx-ID: 9198 | OA
Shevchenko, Alexander, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” In Proceedings of the 37th International Conference on Machine Learning, 119:8773–84. ML Research Press, 2020.
[Published Version] View | Files available | arXiv
 
[28]
2020 | Journal Article | IST-REx-ID: 6748 | OA
Javanmard, Adel, Marco Mondelli, and Andrea Montanari. “Analysis of a Two-Layer Neural Network via Displacement Convexity.” Annals of Statistics. Institute of Mathematical Statistics, 2020. https://doi.org/10.1214/20-AOS1945.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[27]
2019 | Journal Article | IST-REx-ID: 6662 | OA
Mondelli, Marco, and Andrea Montanari. “Fundamental Limits of Weak Recovery with Applications to Phase Retrieval.” Foundations of Computational Mathematics. Springer, 2019. https://doi.org/10.1007/s10208-018-9395-y.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[26]
2019 | Journal Article | IST-REx-ID: 6663 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “Construction of Polar Codes with Sublinear Complexity.” IEEE. IEEE, 2019. https://doi.org/10.1109/tit.2018.2889667.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[25]
2019 | Conference Paper | IST-REx-ID: 6747 | OA
Mondelli, Marco, and Andrea Montanari. “On the Connection between Learning Two-Layers Neural Networks and Tensor  Decomposition.” In Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 89:1051–60. Proceedings of Machine Learning Research, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[24]
2019 | Journal Article | IST-REx-ID: 6750 | OA
Hashemi, Seyyed Ali, Carlo Condo, Marco Mondelli, and Warren J Gross. “Rate-Flexible Fast Polar Decoders.” IEEE Transactions on Signal Processing. IEEE, 2019. https://doi.org/10.1109/TSP.2019.2944738.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[23]
2019 | Journal Article | IST-REx-ID: 7007 | OA
Mondelli, Marco, S. Hamed Hassani, and Rüdiger Urbanke. “A New Coding Paradigm for the Primitive Relay Channel.” Algorithms. MDPI, 2019. https://doi.org/10.3390/a12100218.
[Published Version] View | Files available | DOI | arXiv
 
[22]
2018 | Conference Paper | IST-REx-ID: 6664 | OA
Hashemi, Seyyed Ali, Nghia Doan, Marco Mondelli, and Warren Gross. “Decoding Reed-Muller and Polar Codes by Successive Factor Graph Permutations.” In 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing, 1–5. IEEE, 2018. https://doi.org/10.1109/istc.2018.8625281.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2018 | Journal Article | IST-REx-ID: 6674
Hashemi, Seyyed Ali, Marco Mondelli, S. Hamed Hassani, Carlo Condo, Rudiger L. Urbanke, and Warren J. Gross. “Decoder Partitioning: Towards Practical List Decoding of Polar Codes.” IEEE Transactions on Communications. IEEE, 2018. https://doi.org/10.1109/tcomm.2018.2832207.
View | DOI
 
[20]
2018 | Conference Paper | IST-REx-ID: 6728 | OA
Doan, Nghia, Seyyed Ali Hashemi, Marco Mondelli, and Warren J. Gross. “On the Decoding of Polar Codes on Permuted Factor Graphs.” In 2018 IEEE Global Communications Conference . IEEE, 2018. https://doi.org/10.1109/glocom.2018.8647308.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[19]
2018 | Journal Article | IST-REx-ID: 6678 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “How to Achieve the Capacity of Asymmetric Channels.” IEEE Transactions on Information Theory. IEEE, 2018. https://doi.org/10.1109/tit.2018.2789885.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[18]
2018 | Conference Paper | IST-REx-ID: 6675 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “A New Coding Paradigm for the Primitive Relay Channel.” In 2018 IEEE International Symposium on Information Theory, 351–55. IEEE, 2018. https://doi.org/10.1109/isit.2018.8437479.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[17]
2018 | Conference Paper | IST-REx-ID: 6665 | OA
Fazeli, Arman, Hamed Hassani, Marco Mondelli, and Alexander Vardy. “Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels.” In 2018 IEEE Information Theory Workshop, 1–5. IEEE, 2018. https://doi.org/10.1109/itw.2018.8613428.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[16]
2017 | Conference Paper | IST-REx-ID: 6679 | OA
Hashemi, Seyyed Ali, Marco Mondelli, Hamed Hassani, Ruediger Urbanke, and Warren Gross. “Partitioned List Decoding of Polar Codes: Analysis and Improvement of Finite Length Performance.” In 2017 IEEE Global Communications Conference, 1–7. IEEE, 2017. https://doi.org/10.1109/glocom.2017.8254940.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[15]
2017 | Conference Paper | IST-REx-ID: 6729 | OA
Mondelli, Marco, S. Hamed Hassani, and Rudiger Urbanke. “Construction of Polar Codes with Sublinear Complexity.” In 2017 IEEE International Symposium on Information Theory , 1853–57. IEEE, 2017. https://doi.org/10.1109/isit.2017.8006850.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[14]
2017 | Journal Article | IST-REx-ID: 6730 | OA
Kudekar, Shrinivas, Santhosh Kumar, Marco Mondelli, Henry D. Pfister, Eren Sasoglu, and Ridiger L. Urbanke. “Reed–Muller Codes Achieve Capacity on Erasure Channels.” IEEE Transactions on Information Theory. IEEE, 2017. https://doi.org/10.1109/tit.2017.2673829.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[13]
2017 | Conference Paper | IST-REx-ID: 6731 | OA
Mondelli, Marco, Hamed Hassani, Ivana Maric, Dennis Hui, and Song-Nam Hong. “Capacity-Achieving Rate-Compatible Polar Codes for General Channels.” In 2017 IEEE Wireless Communications and Networking Conference Workshops . IEEE, 2017. https://doi.org/10.1109/wcncw.2017.7919107.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[12]
2016 | Journal Article | IST-REx-ID: 6732 | OA
Mondelli, Marco, S. Hamed Hassani, and Rudiger L. Urbanke. “Unified Scaling of Polar Codes: Error Exponent, Scaling Exponent, Moderate Deviations, and Error Floors.” IEEE Transactions on Information Theory. IEEE, 2016. https://doi.org/10.1109/tit.2016.2616117.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[11]
2016 | Conference Paper | IST-REx-ID: 6733 | OA
Kudekar, Shrinivas, Santhosh Kumar, Marco Mondelli, Henry D. Pfister, and Rudiger Urbankez. “Comparing the Bit-MAP and Block-MAP Decoding Thresholds of Reed-Muller Codes on BMS Channels.” In 2016 IEEE International Symposium on Information Theory , 1755–59. IEEE, 2016. https://doi.org/10.1109/isit.2016.7541600.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[10]
2016 | Conference Paper | IST-REx-ID: 6770
Mondelli, Marco, Shrinivas Kudekar, Santosh Kumar, Henry D. Pfister, Eren Şaşoğlu, and Rüdiger Urbanke. “Reed-Muller Codes: Thresholds and Weight Distribution.” In 24th International Zurich Seminar on Communications, 50. ETH Zürich, 2016. https://doi.org/10.3929/ETHZ-A-010646484.
View | DOI
 
[9]
2015 | Journal Article | IST-REx-ID: 6737 | OA
Mondelli, Marco, Hamed Hassani, Igal Sason, and Rudiger Urbanke. “Achieving Marton’s Region for Broadcast Channels Using Polar Codes.” IEEE Transactions on Information Theory. IEEE, 2015. https://doi.org/10.1109/tit.2014.2368555.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[8]
2015 | Journal Article | IST-REx-ID: 6736 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “Scaling Exponent of List Decoders with Applications to Polar Codes.” IEEE Transactions on Information Theory. IEEE, 2015. https://doi.org/10.1109/tit.2015.2453315.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2014 | Conference Paper | IST-REx-ID: 6740 | OA
Mondelli, Marco, Rudiger Urbanke, and Hamed Hassani. “How to Achieve the Capacity of Asymmetric Channels.” In 52nd Annual Allerton Conference on Communication, Control, and Computing, 789–96. IEEE, 2014. https://doi.org/10.1109/allerton.2014.7028535.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[6]
2014 | Journal Article | IST-REx-ID: 6739 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “From Polar to Reed-Muller Codes: A Technique to Improve the Finite-Length Performance.” IEEE Transactions on Communications. IEEE, 2014. https://doi.org/10.1109/tcomm.2014.2345069.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[5]
2014 | Journal Article | IST-REx-ID: 6744
Mondelli, Marco, Qi Zhou, Vincenzo Lottici, and Xiaoli Ma. “Joint Power Allocation and Path Selection for Multi-Hop Noncoherent Decode and Forward UWB Communications.” IEEE Transactions on Wireless Communications. IEEE, 2014. https://doi.org/10.1109/twc.2014.020914.130669.
View | DOI
 
[4]
2013 | Journal Article | IST-REx-ID: 6768 | OA
Mondelli, Marco. “A Finite Difference Scheme for the Stack Filter Simulating the MCM.” Image Processing On Line. Image Processing On Line, 2013. https://doi.org/10.5201/ipol.2013.53.
[Published Version] View | Files available | DOI
 
[3]
2012 | Conference Paper | IST-REx-ID: 6746
Mondelli, Marco, Qi Zhou, Xiaoli Ma, and Vincenzo Lottici. “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), 2905–8. IEEE, 2012. https://doi.org/10.1109/icassp.2012.6288524.
View | DOI
 
[2]
2011 | Journal Article | IST-REx-ID: 6749 | OA
Mondelli, Marco, and Adina Ciomaga. “Finite Difference Schemes for MCM and AMSS.” Image Processing On Line. IPOL Image Processing On Line, 2011. https://doi.org/10.5201/ipol.2011.cm_fds.
[Published Version] View | Files available | DOI
 
[1]
2011 | Conference Paper | IST-REx-ID: 6767
Mondelli, Marco, and Adina Ciomaga. “On Finite Difference Schemes for Curvature Motions.” In Proceedings of the International Student Conference on Pure and Applied Mathematics, 137–56. Editura Universitãtii „Alexandru Ioan Cuza” Iasi, 2011. https://doi.org/10.13140/2.1.1862.4646.
View | DOI
 
Marked Publication(s)

Search

Filter Publications

    • Display / Sort

    Citation Style: Chicago

    Export / Embed

60 Publications

Mark all

[60]
2024 | Journal Article | IST-REx-ID: 15172
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” IEEE Transactions on Information Theory. IEEE, n.d. https://doi.org/10.1109/TIT.2024.3367767.
View | Files available | DOI | arXiv
 
[59]
2023 | Journal Article | IST-REx-ID: 13315 | OA
Barbier, Jean, Francesco Camilli, Marco Mondelli, and Manuel Sáenz. “Fundamental Limits in Structured Principal Component Analysis and How to Reach Them.” Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences, 2023. https://doi.org/10.1073/pnas.2302028120.
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[58]
2023 | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko, Aleksandr, Kevin Kögler, Hamed Hassani, and Marco Mondelli. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” In Proceedings of the 40th International Conference on Machine Learning, 202:31151–209. ML Research Press, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[57]
2023 | Conference Paper | IST-REx-ID: 13321 | OA
Xu, Yizhou, Tian Qi Hou, Shan Suo Liang, and Marco Mondelli. “Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models.” In 2023 IEEE Information Theory Workshop, 294–98. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/ITW55543.2023.10160238.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[56]
2023 | Conference Paper | IST-REx-ID: 12859 | OA
Bombari, Simone, Shayan Kiyani, and Marco Mondelli. “Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels.” In Proceedings of the 40th International Conference on Machine Learning, 202:2738–76. ML Research Press, 2023.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[55]
2023 | Conference Paper | IST-REx-ID: 14921 | OA
Súkeník, Peter, Marco Mondelli, and Christoph Lampert. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” In 37th Annual Conference on Neural Information Processing Systems, n.d.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[54]
2023 | Conference Paper | IST-REx-ID: 14924 | OA
Wu, Diyuan, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis for Heavy Ball Methods: Dropout-Stability, Connectivity, and Global Convergence.” In Transactions on Machine Learning Research. ML Research Press, 2023.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[53]
2023 | Conference Paper | IST-REx-ID: 14923 | OA
Fu, Teng, YuHao Liu, Jean Barbier, Marco Mondelli, ShanSuo Liang, and TianQi Hou. “Mismatched Estimation of Non-Symmetric Rank-One Matrices Corrupted by Structured Noise.” In Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE, n.d. https://doi.org/10.1109/isit54713.2023.10206671.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[52]
2023 | Conference Paper | IST-REx-ID: 14922 | OA
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” In Proceedings of 2023 IEEE International Symposium on Information Theory, 400–405. IEEE, 2023. https://doi.org/10.1109/isit54713.2023.10206899.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[51]
2022 | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko, Aleksandr, 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.
[Published Version] View | Files available | arXiv
 
[50]
2022 | Conference Paper | IST-REx-ID: 12016 | OA
Fathollahi, Dorsa, and Marco Mondelli. “Polar Coded Computing: The Role of the Scaling Exponent.” In 2022 IEEE International Symposium on Information Theory, 2022:2154–59. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834712.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[49]
2022 | Conference Paper | IST-REx-ID: 12540 | OA
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.
[Published Version] View | Files available
 
[48]
2022 | Preprint | IST-REx-ID: 12536 | OA
Barbier, Jean, TianQi Hou, Marco Mondelli, and Manuel Saenz. “The Price of Ignorance: How Much Does It Cost to Forget Noise Structure in Low-Rank Matrix Estimation?” ArXiv, n.d. https://doi.org/10.48550/arXiv.2205.10009.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[47]
2022 | Journal Article | IST-REx-ID: 12233 | OA
Doan, Nghia, Seyyed Ali Hashemi, Marco Mondelli, and Warren J. Gross. “Decoding Reed-Muller Codes with Successive Codeword Permutations.” IEEE Transactions on Communications. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/tcomm.2022.3211101.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[46]
2022 | Journal Article | IST-REx-ID: 10364 | OA
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[45]
2022 | Journal Article | IST-REx-ID: 12538 | OA
Amani, Mohammad Hossein, Simone Bombari, Marco Mondelli, Rattana Pukdee, and Stefano Rini. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.” IEEE Information Theory Workshop. IEEE, 2022. https://doi.org/10.1109/ITW54588.2022.9965870.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[44]
2022 | Conference Paper | IST-REx-ID: 12537 | OA
Bombari, Simone, Mohammad Hossein Amani, and Marco Mondelli. “Memorization and Optimization in Deep Neural Networks with Minimum Over-Parameterization.” In 36th Conference on Neural Information Processing Systems, 35:7628–40. Curran Associates, 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[43]
2022 | Journal Article | IST-REx-ID: 12480 | OA
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.
[Published Version] View | Files available | DOI | WoS
 
[42]
2021 | Conference Paper | IST-REx-ID: 10595 | OA
Nguyen, Quynh, Marco Mondelli, and Guido F Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, edited by Marina Meila and Tong Zhang, 139:8119–29. ML Research Press, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[41]
2021 | Conference Paper | IST-REx-ID: 10599 | OA
Hashemi, Seyyed Ali, Marco Mondelli, John Cioffi, and Andrea Goldsmith. “Successive Syndrome-Check Decoding of Polar Codes.” In Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021–October:943–47. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/IEEECONF53345.2021.9723394.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[40]
2021 | Conference Paper | IST-REx-ID: 13146 | OA
Nguyen, Quynh, Marco Mondelli, and Guido Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, 139:8119–29. ML Research Press, 2021.
[Published Version] View | Files available | arXiv
 
[39]
2021 | Journal Article | IST-REx-ID: 9047 | OA
Mondelli, Marco, Seyyed Ali Hashemi, John M. Cioffi, and Andrea Goldsmith. “Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes.” IEEE Transactions on Wireless Communications. IEEE, 2021. https://doi.org/10.1109/TWC.2020.3022922.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[38]
2021 | Conference Paper | IST-REx-ID: 10053 | OA
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
[37]
2021 | Conference Paper | IST-REx-ID: 10597 | OA
Fathollahi, Dorsa, Nariman Farsad, Seyyed Ali Hashemi, and Marco Mondelli. “Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes.” In 2021 IEEE International Symposium on Information Theory, 1082–87. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/isit45174.2021.9517887.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[36]
2021 | Journal Article | IST-REx-ID: 10211 | OA
Mondelli, Marco, Christos Thrampoulidis, and Ramji Venkataramanan. “Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models.” Foundations of Computational Mathematics. Springer, 2021. https://doi.org/10.1007/s10208-021-09531-x.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[35]
2021 | Conference Paper | IST-REx-ID: 10593 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[34]
2021 | Conference Paper | IST-REx-ID: 10594 | OA
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.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[33]
2021 | Conference Paper | IST-REx-ID: 10598 | OA
Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.” In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, edited by Arindam Banerjee and Kenji Fukumizu, 130:397–405. ML Research Press, 2021.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[32]
2021 | 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.
[Preprint] View | Files available | DOI | arXiv
 
[31]
2020 | Conference Paper | IST-REx-ID: 9221 | OA
Nguyen, Quynh, and Marco Mondelli. “Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology.” In 34th Conference on Neural Information Processing Systems, 33:11961–11972. Curran Associates, 2020.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[30]
2020 | Conference Paper | IST-REx-ID: 8536 | OA
Mondelli, Marco, Seyyed Ali Hashemi, John Cioffi, and Andrea Goldsmith. “Simplified Successive Cancellation Decoding of Polar Codes Has Sublinear Latency.” In IEEE International Symposium on Information Theory - Proceedings, Vol. 2020–June. IEEE, 2020. https://doi.org/10.1109/ISIT44484.2020.9174141.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[29]
2020 | Conference Paper | IST-REx-ID: 9198 | OA
Shevchenko, Alexander, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” In Proceedings of the 37th International Conference on Machine Learning, 119:8773–84. ML Research Press, 2020.
[Published Version] View | Files available | arXiv
 
[28]
2020 | Journal Article | IST-REx-ID: 6748 | OA
Javanmard, Adel, Marco Mondelli, and Andrea Montanari. “Analysis of a Two-Layer Neural Network via Displacement Convexity.” Annals of Statistics. Institute of Mathematical Statistics, 2020. https://doi.org/10.1214/20-AOS1945.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[27]
2019 | Journal Article | IST-REx-ID: 6662 | OA
Mondelli, Marco, and Andrea Montanari. “Fundamental Limits of Weak Recovery with Applications to Phase Retrieval.” Foundations of Computational Mathematics. Springer, 2019. https://doi.org/10.1007/s10208-018-9395-y.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[26]
2019 | Journal Article | IST-REx-ID: 6663 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “Construction of Polar Codes with Sublinear Complexity.” IEEE. IEEE, 2019. https://doi.org/10.1109/tit.2018.2889667.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[25]
2019 | Conference Paper | IST-REx-ID: 6747 | OA
Mondelli, Marco, and Andrea Montanari. “On the Connection between Learning Two-Layers Neural Networks and Tensor  Decomposition.” In Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 89:1051–60. Proceedings of Machine Learning Research, 2019.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[24]
2019 | Journal Article | IST-REx-ID: 6750 | OA
Hashemi, Seyyed Ali, Carlo Condo, Marco Mondelli, and Warren J Gross. “Rate-Flexible Fast Polar Decoders.” IEEE Transactions on Signal Processing. IEEE, 2019. https://doi.org/10.1109/TSP.2019.2944738.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[23]
2019 | Journal Article | IST-REx-ID: 7007 | OA
Mondelli, Marco, S. Hamed Hassani, and Rüdiger Urbanke. “A New Coding Paradigm for the Primitive Relay Channel.” Algorithms. MDPI, 2019. https://doi.org/10.3390/a12100218.
[Published Version] View | Files available | DOI | arXiv
 
[22]
2018 | Conference Paper | IST-REx-ID: 6664 | OA
Hashemi, Seyyed Ali, Nghia Doan, Marco Mondelli, and Warren Gross. “Decoding Reed-Muller and Polar Codes by Successive Factor Graph Permutations.” In 2018 IEEE 10th International Symposium on Turbo Codes & Iterative Information Processing, 1–5. IEEE, 2018. https://doi.org/10.1109/istc.2018.8625281.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[21]
2018 | Journal Article | IST-REx-ID: 6674
Hashemi, Seyyed Ali, Marco Mondelli, S. Hamed Hassani, Carlo Condo, Rudiger L. Urbanke, and Warren J. Gross. “Decoder Partitioning: Towards Practical List Decoding of Polar Codes.” IEEE Transactions on Communications. IEEE, 2018. https://doi.org/10.1109/tcomm.2018.2832207.
View | DOI
 
[20]
2018 | Conference Paper | IST-REx-ID: 6728 | OA
Doan, Nghia, Seyyed Ali Hashemi, Marco Mondelli, and Warren J. Gross. “On the Decoding of Polar Codes on Permuted Factor Graphs.” In 2018 IEEE Global Communications Conference . IEEE, 2018. https://doi.org/10.1109/glocom.2018.8647308.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[19]
2018 | Journal Article | IST-REx-ID: 6678 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “How to Achieve the Capacity of Asymmetric Channels.” IEEE Transactions on Information Theory. IEEE, 2018. https://doi.org/10.1109/tit.2018.2789885.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[18]
2018 | Conference Paper | IST-REx-ID: 6675 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “A New Coding Paradigm for the Primitive Relay Channel.” In 2018 IEEE International Symposium on Information Theory, 351–55. IEEE, 2018. https://doi.org/10.1109/isit.2018.8437479.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[17]
2018 | Conference Paper | IST-REx-ID: 6665 | OA
Fazeli, Arman, Hamed Hassani, Marco Mondelli, and Alexander Vardy. “Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels.” In 2018 IEEE Information Theory Workshop, 1–5. IEEE, 2018. https://doi.org/10.1109/itw.2018.8613428.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[16]
2017 | Conference Paper | IST-REx-ID: 6679 | OA
Hashemi, Seyyed Ali, Marco Mondelli, Hamed Hassani, Ruediger Urbanke, and Warren Gross. “Partitioned List Decoding of Polar Codes: Analysis and Improvement of Finite Length Performance.” In 2017 IEEE Global Communications Conference, 1–7. IEEE, 2017. https://doi.org/10.1109/glocom.2017.8254940.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[15]
2017 | Conference Paper | IST-REx-ID: 6729 | OA
Mondelli, Marco, S. Hamed Hassani, and Rudiger Urbanke. “Construction of Polar Codes with Sublinear Complexity.” In 2017 IEEE International Symposium on Information Theory , 1853–57. IEEE, 2017. https://doi.org/10.1109/isit.2017.8006850.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[14]
2017 | Journal Article | IST-REx-ID: 6730 | OA
Kudekar, Shrinivas, Santhosh Kumar, Marco Mondelli, Henry D. Pfister, Eren Sasoglu, and Ridiger L. Urbanke. “Reed–Muller Codes Achieve Capacity on Erasure Channels.” IEEE Transactions on Information Theory. IEEE, 2017. https://doi.org/10.1109/tit.2017.2673829.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[13]
2017 | Conference Paper | IST-REx-ID: 6731 | OA
Mondelli, Marco, Hamed Hassani, Ivana Maric, Dennis Hui, and Song-Nam Hong. “Capacity-Achieving Rate-Compatible Polar Codes for General Channels.” In 2017 IEEE Wireless Communications and Networking Conference Workshops . IEEE, 2017. https://doi.org/10.1109/wcncw.2017.7919107.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[12]
2016 | Journal Article | IST-REx-ID: 6732 | OA
Mondelli, Marco, S. Hamed Hassani, and Rudiger L. Urbanke. “Unified Scaling of Polar Codes: Error Exponent, Scaling Exponent, Moderate Deviations, and Error Floors.” IEEE Transactions on Information Theory. IEEE, 2016. https://doi.org/10.1109/tit.2016.2616117.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[11]
2016 | Conference Paper | IST-REx-ID: 6733 | OA
Kudekar, Shrinivas, Santhosh Kumar, Marco Mondelli, Henry D. Pfister, and Rudiger Urbankez. “Comparing the Bit-MAP and Block-MAP Decoding Thresholds of Reed-Muller Codes on BMS Channels.” In 2016 IEEE International Symposium on Information Theory , 1755–59. IEEE, 2016. https://doi.org/10.1109/isit.2016.7541600.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[10]
2016 | Conference Paper | IST-REx-ID: 6770
Mondelli, Marco, Shrinivas Kudekar, Santosh Kumar, Henry D. Pfister, Eren Şaşoğlu, and Rüdiger Urbanke. “Reed-Muller Codes: Thresholds and Weight Distribution.” In 24th International Zurich Seminar on Communications, 50. ETH Zürich, 2016. https://doi.org/10.3929/ETHZ-A-010646484.
View | DOI
 
[9]
2015 | Journal Article | IST-REx-ID: 6737 | OA
Mondelli, Marco, Hamed Hassani, Igal Sason, and Rudiger Urbanke. “Achieving Marton’s Region for Broadcast Channels Using Polar Codes.” IEEE Transactions on Information Theory. IEEE, 2015. https://doi.org/10.1109/tit.2014.2368555.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[8]
2015 | Journal Article | IST-REx-ID: 6736 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “Scaling Exponent of List Decoders with Applications to Polar Codes.” IEEE Transactions on Information Theory. IEEE, 2015. https://doi.org/10.1109/tit.2015.2453315.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[7]
2014 | Conference Paper | IST-REx-ID: 6740 | OA
Mondelli, Marco, Rudiger Urbanke, and Hamed Hassani. “How to Achieve the Capacity of Asymmetric Channels.” In 52nd Annual Allerton Conference on Communication, Control, and Computing, 789–96. IEEE, 2014. https://doi.org/10.1109/allerton.2014.7028535.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[6]
2014 | Journal Article | IST-REx-ID: 6739 | OA
Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “From Polar to Reed-Muller Codes: A Technique to Improve the Finite-Length Performance.” IEEE Transactions on Communications. IEEE, 2014. https://doi.org/10.1109/tcomm.2014.2345069.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[5]
2014 | Journal Article | IST-REx-ID: 6744
Mondelli, Marco, Qi Zhou, Vincenzo Lottici, and Xiaoli Ma. “Joint Power Allocation and Path Selection for Multi-Hop Noncoherent Decode and Forward UWB Communications.” IEEE Transactions on Wireless Communications. IEEE, 2014. https://doi.org/10.1109/twc.2014.020914.130669.
View | DOI
 
[4]
2013 | Journal Article | IST-REx-ID: 6768 | OA
Mondelli, Marco. “A Finite Difference Scheme for the Stack Filter Simulating the MCM.” Image Processing On Line. Image Processing On Line, 2013. https://doi.org/10.5201/ipol.2013.53.
[Published Version] View | Files available | DOI
 
[3]
2012 | Conference Paper | IST-REx-ID: 6746
Mondelli, Marco, Qi Zhou, Xiaoli Ma, and Vincenzo Lottici. “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), 2905–8. IEEE, 2012. https://doi.org/10.1109/icassp.2012.6288524.
View | DOI
 
[2]
2011 | Journal Article | IST-REx-ID: 6749 | OA
Mondelli, Marco, and Adina Ciomaga. “Finite Difference Schemes for MCM and AMSS.” Image Processing On Line. IPOL Image Processing On Line, 2011. https://doi.org/10.5201/ipol.2011.cm_fds.
[Published Version] View | Files available | DOI
 
[1]
2011 | Conference Paper | IST-REx-ID: 6767
Mondelli, Marco, and Adina Ciomaga. “On Finite Difference Schemes for Curvature Motions.” In Proceedings of the International Student Conference on Pure and Applied Mathematics, 137–56. Editura Universitãtii „Alexandru Ioan Cuza” Iasi, 2011. https://doi.org/10.13140/2.1.1862.4646.
View | DOI
 
Marked Publication(s)

Search

Filter Publications

    • Display / Sort

    Citation Style: Chicago

    Export / Embed