4 papers · 1 filter
Training neural control variates using correlated configurations
Hyunwoo Oh
Neural control variates (NCVs) have emerged as a powerful tool for variance reduction in Monte Carlo (MC) simulations, particularly in high-dimensional problems where traditional c…
Control variates with neural networks
Hyunwoo Oh
The precision of lattice QCD calculations is often hindered by the stochastic noise inherent in these methods. The control variates method can provide an effective noise reduction…
Leveraging neural control variates for enhanced precision in lattice field theory
Paulo F. Bedaque, Hyunwoo Oh
Results obtained with stochastic methods have an inherent uncertainty due to the finite number of samples that can be achieved in practice. In lattice QCD this problem is particula…
A solution for infinite variance problem of fermionic observables
Hyunwoo Oh, Andrei Alexandru, Paulo F. Bedaque +1
Fermionic Monte Carlo calculations with continuous auxiliary fields often encounter infinite variance problem from fermionic observables. This issue renders the estimation of obser…