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 ...
Abstract: This paper proposes a novel online maximum torque per ampere (MTPA) control method for permanent magnet synchronous motors (PMSMs) that addresses nonlinearities such as magnetic saturation ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results