17 citations · 17 across the 3 of their papers we have counts for
3 papers
math.NA2026
Parametric Probabilistic Manifold Decomposition for Nonlinear Model Reduction
Jiaming Guo, Dunhui Xiao
Probabilistic Manifold Decomposition (PMD)\cite{doi:10.1137/25M1738863}, developed in our earlier work, provides a nonlinear model reduction by embedding high-dimensional dynamics…
cs.SE2025
QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation
Changxin Ke, Rui Zhang, Shuo Wang +11
The rise of GPU-based high-performance computing (HPC) has driven the widespread adoption of parallel programming models such as CUDA. Yet, the inherent complexity of parallel prog…
math.NA2025★ 17 cited
Nonlinear Model Reduction by Probabilistic Manifold Decomposition
Jiaming Guo, Dunhui Xiao
This paper presents a novel non-linear model reduction method: Probabilistic Manifold Decomposition (PMD), which provides a powerful framework for constructing non-intrusive reduce…