Author

Guang Lin

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

Stochastic Gradient Leimkuhler-Matthews Integrator with Second Order Discretization Error

Stochastic gradient Langevin dynamics (SGLD) has a discretization error of first order in the step size $h$, even with the full gradient. We study the stochastic gradient Leimkuhler-Matthews (SGLM) integrator, which has the same cost as SGLD, one stochastic gradient per step, and reuses each Gaussian vector in consecut...

Xu-Da Ye, Yu-Liang Wang, Guang Lin et al. · 0 citations

#machine learning Preprint Feb 2025

Active Learning with Bayesian Multi-Fidelity Laplace Neural Operators for Oscillatory Parametric PDEs

Results demonstrate that Bayesian multi-fidelity LNOs, combined with uncertainty-guided active learning, provide a data-efficient framework for operator learning in engineering dynamical systems.

Bongseok Kim, Hao-Yang Zheng, Michael Penwarden et al. · 2 citations