New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

Abstract: In industrial fault diagnosis, traditional methods grapple with challenges, such as nonstationarity, nonlinearity, high dimensionality, and strong coupling. To address these issues, we ...

Abstract: This paper introduces a novel structure for deep Gaussian processes (DGPs) and a method for determining their depths. The proposed framework enables faster convergence of their parameters ...

Why does stopping at a red light become automatic? New neuroscience shows how the cerebellum turns visual cues into fast, ...

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...