Ethereum (ETH), and Ripple (XRP) are trading in green on Monday, fueling a broader cryptocurrency market recovery. Bitcoin ...

We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. We ...

Abstract: Knowledge graph embedding (KGE) aims at learning powerful representations to benefit various artificial intelligence applications. Meanwhile, contrastive learning has been widely leveraged ...

Abstract: Recently, the semi-supervised graph convolutional network (SSGCN) has been verified effective for hyperspectral image (HSI) classification. However, constrained by the limited training data ...

We show that iteration of the crossing-symmetric Bethe-Salpeter equations with s−u crossing symmetry and t exchange will generate a subset of the generalized ladder graphs of the relativistic eikonal ...