Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.”https://doi.org/10.1109/TIT.2024.3367767__IEEE Transactions on Information Theory. IEEE, n.d.https://doi.org/10.1109/TIT.2024.3367767 .
LibreCat: https://research-explorer.ista.ac.at/record/15172
DOI: 10.1109/TIT.2024.3367767
arXiv: 2303.07245

Barbier, Jean, Francesco Camilli, Marco Mondelli, and Manuel Sáenz. “Fundamental Limits in Structured Principal Component Analysis and How to Reach Them.”https://doi.org/10.1073/pnas.2302028120__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 .
LibreCat: https://research-explorer.ista.ac.at/record/13315
DOI: 10.1073/pnas.2302028120
PMID: 37463204

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.
LibreCat: https://research-explorer.ista.ac.at/record/14459
arXiv: 2212.13468

Xu, Yizhou, Tian Qi Hou, Shan Suo Liang, and Marco Mondelli. “Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models.”https://doi.org/10.1109/ITW55543.2023.10160238__In 2023 IEEE Information Theory Workshop, 294–98. Institute of Electrical and Electronics Engineers, 2023.https://doi.org/10.1109/ITW55543.2023.10160238 .
LibreCat: https://research-explorer.ista.ac.at/record/13321
DOI: 10.1109/ITW55543.2023.10160238
WoS: 001031733100053
arXiv: 2212.01572

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.
LibreCat: https://research-explorer.ista.ac.at/record/12859
arXiv: 2302.01629

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.
LibreCat: https://research-explorer.ista.ac.at/record/14921
arXiv: 2305.13165

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.
LibreCat: https://research-explorer.ista.ac.at/record/14924
arXiv: 2210.06819

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.”https://doi.org/10.1109/isit54713.2023.10206671__In Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE, n.d.https://doi.org/10.1109/isit54713.2023.10206671 .
LibreCat: https://research-explorer.ista.ac.at/record/14923
DOI: 10.1109/isit54713.2023.10206671
arXiv: 2302.03306

Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.”https://doi.org/10.1109/isit54713.2023.10206899__In Proceedings of 2023 IEEE International Symposium on Information Theory, 400–405. IEEE, 2023.https://doi.org/10.1109/isit54713.2023.10206899 .
LibreCat: https://research-explorer.ista.ac.at/record/14922
DOI: 10.1109/isit54713.2023.10206899
arXiv: 2303.07245

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.
LibreCat: https://research-explorer.ista.ac.at/record/11420
arXiv: 2111.02278

Fathollahi, Dorsa, and Marco Mondelli. “Polar Coded Computing: The Role of the Scaling Exponent.”https://doi.org/10.1109/ISIT50566.2022.9834712__In 2022 IEEE International Symposium on Information Theory, 2022:2154–59. IEEE, 2022.https://doi.org/10.1109/ISIT50566.2022.9834712 .
LibreCat: https://research-explorer.ista.ac.at/record/12016
DOI: 10.1109/ISIT50566.2022.9834712
arXiv: 2201.10082

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.
LibreCat: https://research-explorer.ista.ac.at/record/12540

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?”https://doi.org/10.48550/arXiv.2205.10009__ArXiv, n.d.https://doi.org/10.48550/arXiv.2205.10009 .
LibreCat: https://research-explorer.ista.ac.at/record/12536
DOI: 10.48550/arXiv.2205.10009
arXiv: 2205.10009

Doan, Nghia, Seyyed Ali Hashemi, Marco Mondelli, and Warren J. Gross. “Decoding Reed-Muller Codes with Successive Codeword Permutations.”https://doi.org/10.1109/tcomm.2022.3211101__IEEE Transactions on Communications. Institute of Electrical and Electronics Engineers, 2022.https://doi.org/10.1109/tcomm.2022.3211101 .
LibreCat: https://research-explorer.ista.ac.at/record/12233
DOI: 10.1109/tcomm.2022.3211101
WoS: 000937284600006
arXiv: 2109.02122

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.”https://doi.org/10.1109/TWC.2021.3125626__IEEE Transactions on Wireless Communications. Institute of Electrical and Electronics Engineers, 2022.https://doi.org/10.1109/TWC.2021.3125626 .
LibreCat: https://research-explorer.ista.ac.at/record/10364
DOI: 10.1109/TWC.2021.3125626
WoS: 000809406400028
arXiv: 2012.13378

Amani, Mohammad Hossein, Simone Bombari, Marco Mondelli, Rattana Pukdee, and Stefano Rini. “Sharp Asymptotics on the Compression of Two-Layer Neural Networks.”https://doi.org/10.1109/ITW54588.2022.9965870__IEEE Information Theory Workshop. IEEE, 2022.https://doi.org/10.1109/ITW54588.2022.9965870 .
LibreCat: https://research-explorer.ista.ac.at/record/12538
DOI: 10.1109/ITW54588.2022.9965870
arXiv: 2205.08199

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.
LibreCat: https://research-explorer.ista.ac.at/record/12537
arXiv: 2205.10217

Mondelli, Marco, and Ramji Venkataramanan. “Approximate Message Passing with Spectral Initialization for Generalized Linear Models.”https://doi.org/10.1088/1742-5468/ac9828__Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing, 2022.https://doi.org/10.1088/1742-5468/ac9828 .
LibreCat: https://research-explorer.ista.ac.at/record/12480
DOI: 10.1088/1742-5468/ac9828
WoS: 000889589900001

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.
LibreCat: https://research-explorer.ista.ac.at/record/10595
arXiv: 2012.11654

Hashemi, Seyyed Ali, Marco Mondelli, John Cioffi, and Andrea Goldsmith. “Successive Syndrome-Check Decoding of Polar Codes.”https://doi.org/10.1109/IEEECONF53345.2021.9723394__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 .
LibreCat: https://research-explorer.ista.ac.at/record/10599
DOI: 10.1109/IEEECONF53345.2021.9723394
arXiv: 2112.00057

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.
LibreCat: https://research-explorer.ista.ac.at/record/13146
arXiv: 2012.11654

Mondelli, Marco, Seyyed Ali Hashemi, John M. Cioffi, and Andrea Goldsmith. “Sublinear Latency for Simplified Successive Cancellation Decoding of Polar Codes.”https://doi.org/10.1109/TWC.2020.3022922__IEEE Transactions on Wireless Communications. IEEE, 2021.https://doi.org/10.1109/TWC.2020.3022922 .
LibreCat: https://research-explorer.ista.ac.at/record/9047
DOI: 10.1109/TWC.2020.3022922
WoS: 000607808800002
arXiv: 1909.04892

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.”https://doi.org/10.1109/ISIT45174.2021.9518153__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 .
LibreCat: https://research-explorer.ista.ac.at/record/10053
DOI: 10.1109/ISIT45174.2021.9518153
WoS: 000701502202078
arXiv: 2012.13378

Fathollahi, Dorsa, Nariman Farsad, Seyyed Ali Hashemi, and Marco Mondelli. “Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes.”https://doi.org/10.1109/isit45174.2021.9517887__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 .
LibreCat: https://research-explorer.ista.ac.at/record/10597
DOI: 10.1109/isit45174.2021.9517887
WoS: 000701502201029
arXiv: 2011.12882

Mondelli, Marco, Christos Thrampoulidis, and Ramji Venkataramanan. “Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models.”https://doi.org/10.1007/s10208-021-09531-x__Foundations of Computational Mathematics. Springer, 2021.https://doi.org/10.1007/s10208-021-09531-x .
LibreCat: https://research-explorer.ista.ac.at/record/10211
DOI: 10.1007/s10208-021-09531-x
WoS: 000685721000001
arXiv: 2008.03326

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.
LibreCat: https://research-explorer.ista.ac.at/record/10593
arXiv: 2106.02356

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.
LibreCat: https://research-explorer.ista.ac.at/record/10594
arXiv: 2102.09671

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.
LibreCat: https://research-explorer.ista.ac.at/record/10598
arXiv: 2010.03460

Fazeli, Arman, Hamed Hassani, Marco Mondelli, and Alexander Vardy. “Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels.”https://doi.org/10.1109/TIT.2020.3038806__IEEE Transactions on Information Theory. IEEE, 2021.https://doi.org/10.1109/TIT.2020.3038806 .
LibreCat: https://research-explorer.ista.ac.at/record/9002
DOI: 10.1109/TIT.2020.3038806
arXiv: 1711.01339

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.
LibreCat: https://research-explorer.ista.ac.at/record/9221
arXiv: 2002.07867

Mondelli, Marco, Seyyed Ali Hashemi, John Cioffi, and Andrea Goldsmith. “Simplified Successive Cancellation Decoding of Polar Codes Has Sublinear Latency.”https://doi.org/10.1109/ISIT44484.2020.9174141__In IEEE International Symposium on Information Theory - Proceedings, Vol. 2020–June. IEEE, 2020.https://doi.org/10.1109/ISIT44484.2020.9174141 .
LibreCat: https://research-explorer.ista.ac.at/record/8536
DOI: 10.1109/ISIT44484.2020.9174141
arXiv: 1909.04892

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.
LibreCat: https://research-explorer.ista.ac.at/record/9198
arXiv: 1912.10095

Javanmard, Adel, Marco Mondelli, and Andrea Montanari. “Analysis of a Two-Layer Neural Network via Displacement Convexity.”https://doi.org/10.1214/20-AOS1945__Annals of Statistics. Institute of Mathematical Statistics, 2020.https://doi.org/10.1214/20-AOS1945 .
LibreCat: https://research-explorer.ista.ac.at/record/6748
DOI: 10.1214/20-AOS1945
WoS: 000598369200021
arXiv: 1901.01375

Mondelli, Marco, and Andrea Montanari. “Fundamental Limits of Weak Recovery with Applications to Phase Retrieval.”https://doi.org/10.1007/s10208-018-9395-y__Foundations of Computational Mathematics. Springer, 2019.https://doi.org/10.1007/s10208-018-9395-y .
LibreCat: https://research-explorer.ista.ac.at/record/6662
DOI: 10.1007/s10208-018-9395-y
arXiv: 1708.05932

Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “Construction of Polar Codes with Sublinear Complexity.”https://doi.org/10.1109/tit.2018.2889667__IEEE. IEEE, 2019.https://doi.org/10.1109/tit.2018.2889667 .
LibreCat: https://research-explorer.ista.ac.at/record/6663
DOI: 10.1109/tit.2018.2889667
arXiv: 1612.05295

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.
LibreCat: https://research-explorer.ista.ac.at/record/6747
arXiv: 1802.07301

Hashemi, Seyyed Ali, Carlo Condo, Marco Mondelli, and Warren J Gross. “Rate-Flexible Fast Polar Decoders.”https://doi.org/10.1109/TSP.2019.2944738__IEEE Transactions on Signal Processing. IEEE, 2019.https://doi.org/10.1109/TSP.2019.2944738 .
LibreCat: https://research-explorer.ista.ac.at/record/6750
DOI: 10.1109/TSP.2019.2944738
arXiv: 1903.09203

Mondelli, Marco, S. Hamed Hassani, and Rüdiger Urbanke. “A New Coding Paradigm for the Primitive Relay Channel.”https://doi.org/10.3390/a12100218__Algorithms. MDPI, 2019.https://doi.org/10.3390/a12100218 .
LibreCat: https://research-explorer.ista.ac.at/record/7007
DOI: 10.3390/a12100218
arXiv: 1801.03153

Hashemi, Seyyed Ali, Nghia Doan, Marco Mondelli, and Warrenhttps://doi.org/10.1109/istc.2018.8625281__Gross. “Decoding Reed-Muller and Polar Codes by Successive Factor Graph Permutations.”https://doi.org/10.1109/istc.2018.8625281__In 2018 IEEE 10th International Symposium on Turbo Codes &; Iterative Information Processing, 1–5. IEEE, 2018.https://doi.org/10.1109/istc.2018.8625281 .
LibreCat: https://research-explorer.ista.ac.at/record/6664
DOI: 10.1109/istc.2018.8625281
arXiv: 1807.03912

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.”https://doi.org/10.1109/tcomm.2018.2832207__IEEE Transactions on Communications. IEEE, 2018.https://doi.org/10.1109/tcomm.2018.2832207 .
LibreCat: https://research-explorer.ista.ac.at/record/6674
DOI: 10.1109/tcomm.2018.2832207

Doan, Nghia, Seyyed Ali Hashemi, Marco Mondelli, and Warren J. Gross. “On the Decoding of Polar Codes on Permuted Factor Graphs.”https://doi.org/10.1109/glocom.2018.8647308__In 2018 IEEE Global Communications Conference . IEEE, 2018.https://doi.org/10.1109/glocom.2018.8647308 .
LibreCat: https://research-explorer.ista.ac.at/record/6728
DOI: 10.1109/glocom.2018.8647308
arXiv: 1806.11195

Mondelli, Marco, Hamed Hassani, and Rudigerhttps://doi.org/10.1109/tit.2018.2789885__Urbanke. “How to Achieve the Capacity of Asymmetric Channels.”https://doi.org/10.1109/tit.2018.2789885__IEEE Transactions on Information Theory. IEEE, 2018.https://doi.org/10.1109/tit.2018.2789885 .
LibreCat: https://research-explorer.ista.ac.at/record/6678
DOI: 10.1109/tit.2018.2789885
arXiv: 1406.7373

Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “A New Coding Paradigm for the Primitive Relay Channel.”https://doi.org/10.1109/isit.2018.8437479__In 2018 IEEE International Symposium on Information Theory, 351–55. IEEE, 2018.https://doi.org/10.1109/isit.2018.8437479 .
LibreCat: https://research-explorer.ista.ac.at/record/6675
DOI: 10.1109/isit.2018.8437479
arXiv: 1801.03153

Fazeli, Arman, Hamed Hassani, Marco Mondelli, and Alexander Vardy. “Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels.”https://doi.org/10.1109/itw.2018.8613428__In 2018 IEEE Information Theory Workshop, 1–5. IEEE, 2018.https://doi.org/10.1109/itw.2018.8613428 .
LibreCat: https://research-explorer.ista.ac.at/record/6665
DOI: 10.1109/itw.2018.8613428
arXiv: 1711.01339

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.”https://doi.org/10.1109/glocom.2017.8254940__In 2017 IEEE Global Communications Conference, 1–7. IEEE, 2017.https://doi.org/10.1109/glocom.2017.8254940 .
LibreCat: https://research-explorer.ista.ac.at/record/6679
DOI: 10.1109/glocom.2017.8254940
arXiv: 1705.05497

Mondelli, Marco, S. Hamed Hassani, and Rudiger Urbanke. “Construction of Polar Codes with Sublinear Complexity.”https://doi.org/10.1109/isit.2017.8006850__In 2017 IEEE International Symposium on Information Theory , 1853–57. IEEE, 2017.https://doi.org/10.1109/isit.2017.8006850 .
LibreCat: https://research-explorer.ista.ac.at/record/6729
DOI: 10.1109/isit.2017.8006850
arXiv: 1612.05295

Kudekar, Shrinivas, Santhosh Kumar, Marco Mondelli, Henry D. Pfister, Eren Sasoglu, and Ridiger L. Urbanke. “Reed–Muller Codes Achieve Capacity on Erasure Channels.”https://doi.org/10.1109/tit.2017.2673829__IEEE Transactions on Information Theory. IEEE, 2017.https://doi.org/10.1109/tit.2017.2673829 .
LibreCat: https://research-explorer.ista.ac.at/record/6730
DOI: 10.1109/tit.2017.2673829
arXiv: 1601.04689

Mondelli, Marco, Hamed Hassani, Ivana Maric, Dennis Hui, and Song-Nam Hong. “Capacity-Achieving Rate-Compatible Polar Codes for General Channels.”https://doi.org/10.1109/wcncw.2017.7919107__In 2017 IEEE Wireless Communications and Networking Conference Workshops . IEEE, 2017.https://doi.org/10.1109/wcncw.2017.7919107 .
LibreCat: https://research-explorer.ista.ac.at/record/6731
DOI: 10.1109/wcncw.2017.7919107
arXiv: 1611.01199

Mondelli, Marco, S. Hamed Hassani, and Rudiger L. Urbanke. “Unified Scaling of Polar Codes: Error Exponent, Scaling Exponent, Moderate Deviations, and Error Floors.”https://doi.org/10.1109/tit.2016.2616117__IEEE Transactions on Information Theory. IEEE, 2016.https://doi.org/10.1109/tit.2016.2616117 .
LibreCat: https://research-explorer.ista.ac.at/record/6732
DOI: 10.1109/tit.2016.2616117
arXiv: 1501.02444

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.”https://doi.org/10.1109/isit.2016.7541600__In 2016 IEEE International Symposium on Information Theory , 1755–59. IEEE, 2016.https://doi.org/10.1109/isit.2016.7541600 .
LibreCat: https://research-explorer.ista.ac.at/record/6733
DOI: 10.1109/isit.2016.7541600
arXiv: 1601.06048

Mondelli, Marco, Shrinivas Kudekar, Santosh Kumar, Henry D. Pfister, Eren eafoflu, and Rüdiger Urbanke. “Reed-Muller Codes: Thresholds and Weight Distribution.”https://doi.org/10.3929/ETHZ-A-010646484__In 24th International Zurich Seminar on Communications, 50. ETH Zürich, 2016.https://doi.org/10.3929/ETHZ-A-010646484 .
LibreCat: https://research-explorer.ista.ac.at/record/6770
DOI: 10.3929/ETHZ-A-010646484

Mondelli, Marco, Hamed Hassani, Igal Sason, and Rudiger Urbanke. “Achieving Marton’s Region for Broadcast Channels Using Polar Codes.”https://doi.org/10.1109/tit.2014.2368555__IEEE Transactions on Information Theory. IEEE, 2015.https://doi.org/10.1109/tit.2014.2368555 .
LibreCat: https://research-explorer.ista.ac.at/record/6737
DOI: 10.1109/tit.2014.2368555
arXiv: 1401.6060

Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “Scaling Exponent of List Decoders with Applications to Polar Codes.”https://doi.org/10.1109/tit.2015.2453315__IEEE Transactions on Information Theory. IEEE, 2015.https://doi.org/10.1109/tit.2015.2453315 .
LibreCat: https://research-explorer.ista.ac.at/record/6736
DOI: 10.1109/tit.2015.2453315
arXiv: 1304.5220

Mondelli, Marco, Rudiger Urbanke, and Hamed Hassani. “How to Achieve the Capacity of Asymmetric Channels.”https://doi.org/10.1109/allerton.2014.7028535__In 52nd Annual Allerton Conference on Communication, Control, and Computing, 789–96. IEEE, 2014.https://doi.org/10.1109/allerton.2014.7028535 .
LibreCat: https://research-explorer.ista.ac.at/record/6740
DOI: 10.1109/allerton.2014.7028535
arXiv: 1406.7373

Mondelli, Marco, Hamed Hassani, and Rudiger Urbanke. “From Polar to Reed-Muller Codes: A Technique to Improve the Finite-Length Performance.”https://doi.org/10.1109/tcomm.2014.2345069__IEEE Transactions on Communications. IEEE, 2014.https://doi.org/10.1109/tcomm.2014.2345069 .
LibreCat: https://research-explorer.ista.ac.at/record/6739
DOI: 10.1109/tcomm.2014.2345069
arXiv: 1401.3127

Mondelli, Marco, Qi Zhou, Vincenzo Lottici, and Xiaoli Ma. “Joint Power Allocation and Path Selection for Multi-Hop Noncoherent Decode and Forward UWB Communications.”https://doi.org/10.1109/twc.2014.020914.130669__IEEE Transactions on Wireless Communications. IEEE, 2014.https://doi.org/10.1109/twc.2014.020914.130669 .
LibreCat: https://research-explorer.ista.ac.at/record/6744
DOI: 10.1109/twc.2014.020914.130669

Mondelli, Marco. “A Finite Difference Scheme for the Stack Filter Simulating the MCM.”https://doi.org/10.5201/ipol.2013.53__Image Processing On Line. Image Processing On Line, 2013.https://doi.org/10.5201/ipol.2013.53 .
LibreCat: https://research-explorer.ista.ac.at/record/6768
DOI: 10.5201/ipol.2013.53

Mondelli, Marco, Qi Zhou, Xiaoli Ma, and Vincenzo Lottici. “A Cooperative Approach for Amplify-and-Forward Differential Transmitted Reference IR-UWB Relay Systems.”https://doi.org/10.1109/icassp.2012.6288524__In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2905–8. IEEE, 2012.https://doi.org/10.1109/icassp.2012.6288524 .
LibreCat: https://research-explorer.ista.ac.at/record/6746
DOI: 10.1109/icassp.2012.6288524

Mondelli, Marco, and Adina Ciomaga. “Finite Difference Schemes for MCM and AMSS.”https://doi.org/10.5201/ipol.2011.cm_fds__Image Processing On Line. IPOL Image Processing On Line, 2011.https://doi.org/10.5201/ipol.2011.cm_fds .
LibreCat: https://research-explorer.ista.ac.at/record/6749
DOI: 10.5201/ipol.2011.cm_fds

Mondelli, Marco, and Adina Ciomaga. “On Finite Difference Schemes for Curvature Motions.”https://doi.org/10.13140/2.1.1862.4646__In Proceedings of the International Student Conference on Pure and Applied Mathematics, 137–56. Editura Universitãtii eAlexandru Ioan Cuza”https://doi.org/10.13140/2.1.1862.4646__Iasi, 2011.https://doi.org/10.13140/2.1.1862.4646 .
LibreCat: https://research-explorer.ista.ac.at/record/6767
DOI: 10.13140/2.1.1862.4646