Automated spacing measurement of formwork system members with 3D point cloud data

no code implementations • 23 May 2023 • Keyi Wu, Samuel A. Prieto, Eyob Mengiste, Borja García de Soto

The current way to measure the spacing between formwork system members is mostly done using manual measuring tools.

An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placemen

1 code implementation • 12 Feb 2021 • Keyi Wu, Peng Chen, Omar Ghattas

Optimal experimental design (OED) plays an important role in the problem of identifying uncertainty with limited experimental data.

Optimization and Control Numerical Analysis Numerical Analysis

Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions

1 code implementation • NeurIPS 2019 • Peng Chen, Keyi Wu, Joshua Chen, Tom O'Leary-Roseberry, Omar Ghattas

We propose a projected Stein variational Newton (pSVN) method for high-dimensional Bayesian inference.

Bayesian Inference