Abstract: Quantifying the complexity of biomedical signals offers critical insight into underlying physiological and pathological dynamics. This study systematically evaluates compression-based ...
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 ...
After the chaotic early 2020s, when the NFL led the way by leaning into woke nonsense like kneeling for the national anthem or introducing "Lift Every Voice" as a separate anthem for Black Americans, ...
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 ...
Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
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