Jamali, Mohammad Vahid, Liu, Xiyang, Makkuva, Ashok Vardhan, Mahdavifar, Hessam, Oh, Sewoong, and Viswanath, Pramod. Machine Learning-Aided Efficient Decoding of Reed–Muller Subcodes. Retrieved from https://par.nsf.gov/biblio/10481828. IEEE Journal on Selected Areas in Information Theory 4. Web. doi:10.1109/JSAIT.2023.3298362.

Jamali, Mohammad Vahid, Liu, Xiyang, Makkuva, Ashok Vardhan, Mahdavifar, Hessam, Oh, Sewoong, & Viswanath, Pramod. Machine Learning-Aided Efficient Decoding of Reed–Muller Subcodes. IEEE Journal on Selected Areas in Information Theory, 4 (). Retrieved from https://par.nsf.gov/biblio/10481828. https://doi.org/10.1109/JSAIT.2023.3298362

Jamali, Mohammad Vahid, Liu, Xiyang, Makkuva, Ashok Vardhan, Mahdavifar, Hessam, Oh, Sewoong, and Viswanath, Pramod. "Machine Learning-Aided Efficient Decoding of Reed–Muller Subcodes". IEEE Journal on Selected Areas in Information Theory 4 (). Country unknown/Code not available: IEEE. https://doi.org/10.1109/JSAIT.2023.3298362. https://par.nsf.gov/biblio/10481828.

@article{osti_10481828,
place = {Country unknown/Code not available}, title = {Machine Learning-Aided Efficient Decoding of Reed–Muller Subcodes}, url = {https://par.nsf.gov/biblio/10481828}, DOI = {10.1109/JSAIT.2023.3298362}, abstractNote = {}, journal = {IEEE Journal on Selected Areas in Information Theory}, volume = {4}, publisher = {IEEE}, author = {Jamali, Mohammad Vahid and Liu, Xiyang and Makkuva, Ashok Vardhan and Mahdavifar, Hessam and Oh, Sewoong and Viswanath, Pramod}, }