24 citations · 61 across the 9 of their papers we have counts for
3 papers · 1 filter
APIK: Active Physics-Informed Kriging Model with Partial Differential Equations
Jialei Chen, Zhehui Chen, Chuck Zhang +1
Kriging (or Gaussian process regression) is a popular machine learning method for its flexibility and closed-form prediction expressions. However, one of the key challenges in appl…
Adaptive design for Gaussian process regression under censoring
Jialei Chen, Simon Mak, V. Roshan Joseph +1
A key objective in engineering problems is to predict an unknown experimental surface over an input domain. In complex physical experiments, this may be hampered by response censor…
Function-on-function kriging, with applications to 3D printing of aortic tissues
Jialei Chen, Simon Mak, V. Roshan Joseph +1
3D-printed medical prototypes, which use synthetic metamaterials to mimic biological tissue, are becoming increasingly important in urgent surgical applications. However, the mimic…