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