Projects per year
Personal profile
Research Interests
Information Theory, Communication Theory, Coding Theory, Computational Neuroscience for the Human Auditory System
Education/Academic qualification
PhD, Electrical and Computer Engineering, University of Illinois at Chicago
External positions
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Dive into the research topics where Stefano Rini is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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用於高效通信的零星聯邦學習的編碼
1/08/22 → 31/07/23
Project: Government Ministry › Other Government Ministry Institute
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用於高效通信的零星聯邦學習的編碼
1/08/24 → 31/07/25
Project: Government Ministry › Other Government Ministry Institute
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用於高效通信的零星聯邦學習的編碼
1/08/23 → 31/07/24
Project: Government Ministry › Other Government Ministry Institute
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機器學習的隨機最佳化方法(1/2)
1/01/22 → 31/12/22
Project: Government Ministry › Other Government Ministry Institute
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Distributed Convex Optimization With Communications Constraints
1/08/21 → 31/07/22
Project: Government Ministry › Other Government Ministry Institute
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Coded Demixing for Unsourced Random Access
Ebert, J. R., Amalladinne, V. K., Rini, S., Chamberland, J. F. & Narayanan, K. R., 2022, In: IEEE Transactions on Signal Processing. 70, p. 2972-2984 13 p.Research output: Contribution to journal › Article › peer-review
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Compressibility Measures for Affinely Singular Random Vectors
Charusaie, M. A., Amini, A. & Rini, S., 2022, (Accepted/In press) In: IEEE Transactions on Information Theory. p. 1 1 p.Research output: Contribution to journal › Article › peer-review
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DNN gradient lossless compression: Can GenNorm be the answer?
Chen, Z. J., Hernandez, E. E., Huang, Y-C. & Rini, S., 2022, ICC 2022 - IEEE International Conference on Communications. Institute of Electrical and Electronics Engineers Inc., p. 407-412 6 p. (IEEE International Conference on Communications; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis
Perlaza, S. M., Bisson, G., Esnaola, I., Jean-Marie, A. & Rini, S., 2022, 2022 IEEE International Symposium on Information Theory, ISIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 684-689 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Neural Capacity Estimators: How Reliable Are They?
Mirkarimi, F., Rini, S. & Farsad, N., 2022, ICC 2022 - IEEE International Conference on Communications. Institute of Electrical and Electronics Engineers Inc., p. 3868-3873 6 p. (IEEE International Conference on Communications; vol. 2022-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review