7 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 7 cited
PI3NN: Out-of-distribution-aware prediction intervals from three neural networks
Siyan Liu, Pei Zhang, Dan Lu +1
We propose a novel prediction interval (PI) method for uncertainty quantification, which addresses three major issues with the state-of-the-art PI methods. First, existing PI metho…
physics.comp-ph2020★ 2 cited
Application of variational policy gradient to atomic-scale materials synthesis
Siyan Liu, Nikolay Borodinov, Lukas Vlcek +3
Atomic-scale materials synthesis via layer deposition techniques present a unique opportunity to control material structures and yield systems that display unique functional proper…
math.OC2020★ 3 cited
A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization
Jiaxin Zhang, Hoang Tran, Dan Lu +1
We propose an improved evolution strategy (ES) using a novel nonlocal gradient operator for high-dimensional black-box optimization. Standard ES methods with -dimensional Gaussi…