Abstract: In this article, the recursive filtering problem is investigated for a class of complex networks (CNs) incorporating amplify-and-forward (AF) relays and subject to double time-correlated ...

Abstract: Implicit neural representation (INR) has been a powerful paradigm for effectively compressing time-varying volumetric data. However, the optimization process can span days or even weeks due ...

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. I'm not particularly proud ...

What this repo does: it trains LLMs to think in a divide-and-conquer (DAC) way via an end-to-end RL pipeline. Core idea: instead of only learning sequential chain-of-thought (CoT), the policy learns ...