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ORCIDMehrazin Alizadeh
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2020 – today
- 2024
[j2]Mehrazin Alizadeh
, Xavier Mootoo, Omer Waqar, Hina Tabassum:
QoS-Aware Deep Unsupervised Learning for STAR-RIS Assisted Networks: A Novel Differentiable Projection Framework. IEEE Wirel. Commun. Lett. 13(9): 2367-2371 (2024)- [i4]Andrei Tomut, Saeed S. Jahromi, Sukhbinder Singh, Faysal Ishtiaq, César Muñoz, Prabdeep Singh Bajaj, Ali Elborady, Gianni Del Bimbo, Mehrazin Alizadeh, David Montero, Pablo Martin-Ramiro, Muhammad Ibrahim, Oussama Tahiri-Alaoui, John Malcolm, Samuel Mugel, Roman Orus:
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks. CoRR abs/2401.14109 (2024) - [i3]Mohammad Amin Saeidi, Hina Tabassum, Mehrazin Alizadeh:
Molecular Absorption-Aware User Assignment, Spectrum, and Power Allocation in Dense THz Networks with Multi-Connectivity. CoRR abs/2408.03451 (2024) - 2023
- [j1]Mehrazin Alizadeh, Hina Tabassum:
Power Control With QoS Guarantees: A Differentiable Projection-Based Unsupervised Learning Framework. IEEE Trans. Commun. 71(8): 4605-4619 (2023) - [i2]Mehrazin Alizadeh, Hina Tabassum:
Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework. CoRR abs/2306.01787 (2023) - 2021
- [c1]Arjun Kaushik, Mehrazin Alizadeh, Omer Waqar, Hina Tabassum:
Deep Unsupervised Learning for Generalized Assignment Problems: A Case-Study of User-Association in Wireless Networks. ICC Workshops 2021: 1-6 - [i1]Arjun Kaushik, Mehrazin Alizadeh, Omer Waqar, Hina Tabassum:
Deep Unsupervised Learning for Generalized Assignment Problems: A Case-Study of User-Association in Wireless Networks. CoRR abs/2103.14548 (2021)
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