Jamali, Mohammad Vahid, Liu, Xiyang, Makkuva, Ashok Vardhan, Mahdavifar, Hessam, Oh, Sewoong, and Viswanath, Pramod. Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. Retrieved from https://par.nsf.gov/biblio/10296020. 2021 IEEE International Symposium on Information Theory (ISIT) . Web. doi:10.1109/ISIT45174.2021.9517885.

Jamali, Mohammad Vahid, Liu, Xiyang, Makkuva, Ashok Vardhan, Mahdavifar, Hessam, Oh, Sewoong, & Viswanath, Pramod. Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding. 2021 IEEE International Symposium on Information Theory (ISIT), (). Retrieved from https://par.nsf.gov/biblio/10296020. https://doi.org/10.1109/ISIT45174.2021.9517885

Jamali, Mohammad Vahid, Liu, Xiyang, Makkuva, Ashok Vardhan, Mahdavifar, Hessam, Oh, Sewoong, and Viswanath, Pramod. "Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding". 2021 IEEE International Symposium on Information Theory (ISIT) (). Country unknown/Code not available. https://doi.org/10.1109/ISIT45174.2021.9517885. https://par.nsf.gov/biblio/10296020.

@article{osti_10296020,
place = {Country unknown/Code not available}, title = {Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding}, url = {https://par.nsf.gov/biblio/10296020}, DOI = {10.1109/ISIT45174.2021.9517885}, abstractNote = {}, journal = {2021 IEEE International Symposium on Information Theory (ISIT)}, author = {Jamali, Mohammad Vahid and Liu, Xiyang and Makkuva, Ashok Vardhan and Mahdavifar, Hessam and Oh, Sewoong and Viswanath, Pramod}, editor = {null} }