69 citations · 189 across the 30 of their papers we have counts for
5 papers · 2 filters
GP+: A Python Library for Kernel-based learning via Gaussian Processes
Amin Yousefpour, Zahra Zanjani Foumani, Mehdi Shishehbor +2
In this paper we introduce GP+, an open-source library for kernel-based learning via Gaussian processes (GPs) which are powerful statistical models that are completely characterize…
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…
On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization
Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor +1
Bayesian optimization (BO) is a sequential optimization strategy that is increasingly employed in a wide range of areas including materials design. In real world applications, acqu…
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers
Arthur Feeney, Zitong Li, Ramin Bostanabad +1
Mosaic Flow is a novel domain decomposition method designed to scale physics-informed neural PDE solvers to large domains. Its unique approach leverages pre-trained networks on sma…
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…