In a paper published in National Science Review, the team of Pro. Liu present an innovative computational framework, the sample-perturbed Gaussian graphical model (sPGGM), designed to analyse ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

AUTHORS: Daming Li KEYWORDS: Density Matrix Renormalization Group, Boltzmann Machine Learning, Variational Quantum Eigensolver, Fermi-Hubbard Model, Schwinger Model JOURNAL NAME: Journal of Modern ...

Restricted Boltzmann machine is an energy-based stochastic neural network with unsupervised learning. This network consists of a layer of hidden unit and visible unit in an undirected generative ...

The cRBM is an extension of the Restricted Boltzmann Machine (RBM) (Smolensky, 1986), an undirected graphical model that consists of two layers of random variables, representing the data itself ...

Boltzmann machine is a kind of probability graphical model, which includes visible layer and hidden layer, and the nodes are fully connected. But this fully connected structure may not be perfect. It ...