146 citations · 175 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Learning Non-linear Wavelet Transformation via Normalizing Flow
Shuo-Hui Li
Wavelet transformation stands as a cornerstone in modern data analysis and signal processing. Its mathematical essence is an invertible transformation that discerns slow patterns f…
cond-mat.stat-mech2019★ 27 cited
Neural Canonical Transformation with Symplectic Flows
Shuo-Hui Li, Chen-Xiao Dong, Linfeng Zhang +1
Canonical transformation plays a fundamental role in simplifying and solving classical Hamiltonian systems. We construct flexible and powerful canonical transformations as generati…
cond-mat.stat-mech2018★ 146 cited
Neural Network Renormalization Group
Shuo-Hui Li, Lei Wang
We present a variational renormalization group (RG) approach using a deep generative model based on normalizing flows. The model performs hierarchical change-of-variables transform…