Guessing random additive noise decoding (GRAND) is a recently proposed universal maximum likelihood (ML) decoder for short-length and high-rate linear block codes. Soft-GRAND (SGRAND) is a prominent ...

Abstract: This paper presents three new ensembles of low density generator matrix (LDGM) codes, all of which are systematic codes. We prove that, under the maximum likelihood (ML) decoding, these ...

The final predictions are the sum of the raw linear predictions and the residuals modeled by the Random Forest. Linear Boosting is a two stage learning process. Firstly, a linear model is trained on ...