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

Resch, Nicolas, Chen Yuan, and Yihan Zhang. “Zero-Rate Thresholds and New Capacity Bounds for List-Decoding and List-Recovery.”https://doi.org/10.4230/LIPIcs.ICALP.2023.99__In 50th International Colloquium on Automata, Languages, and Programming, Vol. 261. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023.https://doi.org/10.4230/LIPIcs.ICALP.2023.99 .
LibreCat: https://research-explorer.ista.ac.at/record/14083
DOI: 10.4230/LIPIcs.ICALP.2023.99
arXiv: 2210.07754

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

Zhang, Yihan, and Shashank Vatedka. “Multiple Packing: Lower Bounds via Infinite Constellations.”https://doi.org/10.1109/TIT.2023.3260950__IEEE Transactions on Information Theory. IEEE, 2023.https://doi.org/10.1109/TIT.2023.3260950 .
LibreCat: https://research-explorer.ista.ac.at/record/12838
DOI: 10.1109/TIT.2023.3260950
WoS: 001017307000023
arXiv: 2211.04407

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

Zhang, Yihan, and Shashank Vatedka. “Multiple Packing: Lower Bounds via Error Exponents.”https://doi.org/10.1109/TIT.2023.3334032__IEEE Transactions on Information Theory. IEEE, 2023.https://doi.org/10.1109/TIT.2023.3334032 .
LibreCat: https://research-explorer.ista.ac.at/record/14665
DOI: 10.1109/TIT.2023.3334032
arXiv: 2211.04408

Zhang, Yihan. “Zero-Error Communication over Adversarial MACs.”https://doi.org/10.1109/tit.2023.3257239__IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers, 2023.https://doi.org/10.1109/tit.2023.3257239 .
LibreCat: https://research-explorer.ista.ac.at/record/14751
DOI: 10.1109/tit.2023.3257239
arXiv: 2101.12426

Polyanskii, Nikita, and Yihan Zhang. “Codes for the Z-Channel.”https://doi.org/10.1109/TIT.2023.3292219__IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers, 2023.https://doi.org/10.1109/TIT.2023.3292219 .
LibreCat: https://research-explorer.ista.ac.at/record/13269
DOI: 10.1109/TIT.2023.3292219
WoS: 001069680100011
arXiv: 2105.01427

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

Zhang, Yihan, Sidharth Jaggi, Michael Langberg, and Anand D. Sarwate. “The Capacity of Causal Adversarial Channels.”https://doi.org/10.1109/ISIT50566.2022.9834709__In 2022 IEEE International Symposium on Information Theory, 2022:2523–28. IEEE, 2022.https://doi.org/10.1109/ISIT50566.2022.9834709 .
LibreCat: https://research-explorer.ista.ac.at/record/12011
DOI: 10.1109/ISIT50566.2022.9834709
arXiv: 2205.06708

Yadav, Anuj Kumar, Mohammadreza Alimohammadi, Yihan Zhang, Amitalok J. Budkuley, and Sidharth Jaggi. “New Results on AVCs with Omniscient and Myopic Adversaries.”https://doi.org/10.1109/ISIT50566.2022.9834632__In 2022 IEEE International Symposium on Information Theory, 2022:2535–40. Institute of Electrical and Electronics Engineers, 2022.https://doi.org/10.1109/ISIT50566.2022.9834632 .
LibreCat: https://research-explorer.ista.ac.at/record/12017
DOI: 10.1109/ISIT50566.2022.9834632

Joshi, Pranav, Amritakshya Purkayastha, Yihan Zhang, Amitalok J. Budkuley, and Sidharth Jaggi. “On the Capacity of Additive AVCs with Feedback.”https://doi.org/10.1109/ISIT50566.2022.9834850__In 2022 IEEE International Symposium on Information Theory, 2022:504–9. IEEE, 2022.https://doi.org/10.1109/ISIT50566.2022.9834850 .
LibreCat: https://research-explorer.ista.ac.at/record/12013
DOI: 10.1109/ISIT50566.2022.9834850

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

Torkamani, Sahel, Javad B. Ebrahimi, Parastoo Sadeghi, Rafael G.L. D’Oliveira, and Muriel Médard. “Heterogeneous Differential Privacy via Graphs.”https://doi.org/10.1109/ISIT50566.2022.9834711__In 2022 IEEE International Symposium on Information Theory, 2022:1623–28. IEEE, 2022.https://doi.org/10.1109/ISIT50566.2022.9834711 .
LibreCat: https://research-explorer.ista.ac.at/record/12012
DOI: 10.1109/ISIT50566.2022.9834711
arXiv: 2203.15429