Author:
Jamali Mohammad Vahid,Liu Xiyang,Makkuva Ashok Vardhan,Mahdavifar Hessam,Oh Sewoong,Viswanath Pramod
Cited by
8 articles.
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1. Machine Learning-Aided Efficient Decoding of Reed–Muller Subcodes;IEEE Journal on Selected Areas in Information Theory;2023
2. Design and Analysis of Neural-Network-based, Single-User Codes for Multiuser Channels;2022 IEEE Latin-American Conference on Communications (LATINCOM);2022-11-30
3. AiFi;Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems;2022-11-06
4. ProductAE: Toward Training Larger Channel Codes based on Neural Product Codes;ICC 2022 - IEEE International Conference on Communications;2022-05-16
5. Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels;ICC 2022 - IEEE International Conference on Communications;2022-05-16