18 citations · 19 across the 4 of their papers we have counts for
4 papers
Should We Simultaneously Calibrate Multiple Computer Models?
Jonathan Tammer Eweis-Labolle, Tyler Johnson, Xiangyu Sun +1
In an increasing number of applications designers have access to multiple computer models which typically have different levels of fidelity and cost. Traditionally, designers calib…
Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications
Jonathan Tammer Eweis-LaBolle, Chuanning Zhao, Yoonjin Won +1
As modern electronic devices are increasingly miniaturized and integrated, their performance relies more heavily on effective thermal management. Two-phase cooling methods enhanced…
Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets
Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler Johnson +2
In many applications in engineering and sciences analysts have simultaneous access to multiple data sources. In such cases, the overall cost of acquiring information can be reduced…
Data Fusion with Latent Map Gaussian Processes
Nicholas Oune, Jonathan Tammer Eweis-Labolle, Ramin Bostanabad
Multi-fidelity modeling and calibration are data fusion tasks that ubiquitously arise in engineering design. In this paper, we introduce a novel approach based on latent-map Gaussi…