In this work, we propose reinforcement learning (RL) for sequential deco...
High-energy physics (HEP) experiments have developed millions of lines o...
Modern cosmological surveys are delivering datasets characterized by
unp...
In this work we propose RELDEC, a novel approach for sequential decoding...
The Exascale Computing Project (ECP) is invested in co-design to assure ...
The movement of large-scale (tens of Terabytes and larger) data sets bet...
Linear nested codes, where two or more sub-codes are nested in a global ...
We show in this work that reinforcement learning can be successfully app...
Cosmological N-body simulations rank among the most computationally inte...
Strong gravitational lensing of astrophysical sources by foreground gala...
We consider binary spatially coupled (SC) low density measurement matric...