3 papers
hep-lat2023
Scalar field Restricted Boltzmann Machine as an ultraviolet regulator
Gert Aarts, Biagio Lucini, Chanju Park
Restricted Boltzmann Machines (RBMs) are well-known tools used in Machine Learning to learn probability distribution functions from data. We analyse RBMs with scalar fields on the…
hep-lat2022
2021 Update on with lattice QCD inputs
Jeehun Kim, Yong-Chull Jang, Sunkyu Lee +4
We present recent updates for determined directly from the standard model (SM) with lattice QCD inputs such as , , , , , $ξ…
hep-lat2022
Deep learning study on the Dirac eigenvalue spectrum of staggered quarks
Hwancheol Jeong, Chulwoo Jung, Seungyeob Jwa +8
We study the chirality of staggered quarks on the Dirac eigenvalue spectrum using deep learning (DL) techniques. The Kluberg-Stern method to construct staggered bilinear operators…