8 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 4 cited
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design
Qihua Chen, Xuejin Chen, Hyun-Myung Woo +1
Various real-world scientific applications involve the mathematical modeling of complex uncertain systems with numerous unknown parameters. Accurate parameter estimation is often p…
math.OC2021★ 3 cited
Optimal Decision Making in High-Throughput Virtual Screening Pipelines
Hyun-Myung Woo, Xiaoning Qian, Li Tan +4
The need for efficient computational screening of molecular candidates that possess desired properties frequently arises in various scientific and engineering problems, including d…
math.OC2021★ 8 cited
Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning
Hyun-Myung Woo, Youngjoon Hong, Bongsuk Kwon +1
Recent advances in objective-based uncertainty quantification (objective-UQ) have shown that such a goal-driven approach for quantifying model uncertainty is extremely useful in re…