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82 Publications


2024 | Published | Conference Paper | IST-REx-ID: 18891 | OA
Súkeník, Peter, Christoph Lampert, and Marco Mondelli. “Neural Collapse versus Low-Rank Bias: Is Deep Neural Collapse Really Optimal?” In 38th Annual Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.
[Published Version] View | Files available | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18897 | OA
Pedrotti, Francesco, Jan Maas, and Marco Mondelli. “Improved Convergence of Score-Based Diffusion Models via Prediction-Correction.” In Transactions on Machine Learning Research, 2024.
[Published Version] View | Files available | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18972 | OA
Bombari, Simone, and Marco Mondelli. “How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features.” In 41st International Conference on Machine Learning, 235:4267–99. ML Research Press, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18973 | OA
Bombari, Simone, and Marco Mondelli. “Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features.” In 41st International Conference on Machine Learning, 235:4300–4328. ML Research Press, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 19518 | OA
Wu, Diyuan, Ionut-Vlad Modoranu, Mher Safaryan, Denis Kuznedelev, and Dan-Adrian Alistarh. “The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2024 | Published | Journal Article | IST-REx-ID: 15172 | OA
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” IEEE Transactions on Information Theory. IEEE, 2024. https://doi.org/10.1109/TIT.2024.3367767.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 17147 | OA
Depope, Al, Marco Mondelli, and Matthew Richard Robinson. “Inference of Genetic Effects via Approximate Message Passing.” In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, 13151–55. IEEE, 2024. https://doi.org/10.1109/ICASSP48485.2024.10447198.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 

2024 | Published | Journal Article | IST-REx-ID: 17330 | OA
Resch, Nicolas, Chen Yuan, and Yihan Zhang. “Zero-Rate Thresholds and New Capacity Bounds for List-Decoding and List-Recovery.” IEEE Transactions on Information Theory. IEEE, 2024. https://doi.org/10.1109/TIT.2024.3430842.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2024 | Draft | Preprint | IST-REx-ID: 17350 | OA
Pedrotti, Francesco, Jan Maas, and Marco Mondelli. “Improved Convergence of Score-Based Diffusion Models via Prediction-Correction.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2305.14164.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2024 | Published | Thesis | PhD | IST-REx-ID: 17465 | OA
Shevchenko, Alexander. “High-Dimensional Limits in Artificial Neural Networks.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:17465.
[Published Version] View | Files available | DOI
 

2024 | Published | Conference Paper | IST-REx-ID: 17469 | OA
Kögler, Kevin, Alexander Shevchenko, Hamed Hassani, and Marco Mondelli. “Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth.” In Proceedings of the 41st International Conference on Machine Learning, 235:24964–15. ML Research Press, 2024.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2023 | Published | Conference Paper | IST-REx-ID: 14083 | OA
Resch, Nicolas, Chen Yuan, and Yihan Zhang. “Zero-Rate Thresholds and New Capacity Bounds for List-Decoding and List-Recovery.” 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.
[Published Version] View | Files available | DOI | arXiv
 

2023 | Published | Journal Article | IST-REx-ID: 12838 | OA
Zhang, Yihan, and Shashank Vatedka. “Multiple Packing: Lower Bounds via Infinite Constellations.” IEEE Transactions on Information Theory. IEEE, 2023. https://doi.org/10.1109/TIT.2023.3260950.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2023 | Published | 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
 

2023 | Published | Journal Article | IST-REx-ID: 13269 | OA
Polyanskii, Nikita, and Yihan Zhang. “Codes for the Z-Channel.” IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/TIT.2023.3292219.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2023 | Published | 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 | WoS | PubMed | Europe PMC
 

2023 | Published | 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
 

2023 | Published | Journal Article | IST-REx-ID: 14751 | OA
Zhang, Yihan. “Zero-Error Communication over Adversarial MACs.” IEEE Transactions on Information Theory. Institute of Electrical and Electronics Engineers, 2023. https://doi.org/10.1109/tit.2023.3257239.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2023 | Published | 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, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Published | 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
 

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