17 citations · 45 across the 15 of their papers we have counts for
5 papers · 1 filter
Stochastic Path Sampler For Lattice Field Theory
Shiyang Chen, Moxian Qian, Gert Aarts +2
In lattice field theory, target distributions are known only up to normalization, (\tildeπ(ϕ)\propto e^{-S(ϕ)}), while the partition function is intractable. Markov chain Monte Car…
Sequential Autoregressive Block Metropolis--Hastings for Two-Dimensional Lattice Fields
Moxian Qian, Shiyang Chen
We construct a Metropolis-corrected sequential autoregressive block update for continuous lattice fields. A variational autoregressive network (VAN) regenerates the sites of an ord…
Exploring Generative Networks for Manifolds with Non-Trivial Topology
Shiyang Chen, Gert Aarts, Biagio Lucini
The expressive power of neural networks in modelling non-trivial distributions can in principle be exploited to bypass topological freezing and critical slowing down in simulations…
Machine learning Hadron Spectral Functions in Lattice QCD
Shi-Yang Chen, Heng-Tong Ding, Fei-Yi Liu +2
Hadron spectral functions carry all the information of hadrons and are encoded in the Euclidean two-point correlation functions. The extraction of hadron spectral functions from th…
Machine learning spectral functions in lattice QCD
S. -Y. Chen, H. -T. Ding, F. -Y. Liu +2
We study the inverse problem of reconstructing spectral functions from Euclidean correlation functions via machine learning. We propose a novel neural network, SVAE, which is based…