34 citations · 39 across the 3 of their papers we have counts for
3 papers
GPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder
Christophe Bonneville, Youngsoo Choi, Debojyoti Ghosh +1
Numerically solving partial differential equations (PDEs) can be challenging and computationally expensive. This has led to the development of reduced-order models (ROMs) that are…
Bayesian Deep Learning for Partial Differential Equation Parameter Discovery with Sparse and Noisy Data
Christophe Bonneville, Christopher J. Earls
Scientific machine learning has been successfully applied to inverse problems and PDE discovery in computational physics. One caveat concerning current methods is the need for larg…
A Principled Approach to Design Using High Fidelity Fluid-Structure Interaction Simulations
Wensi Wu, Christophe Bonneville, Christopher J. Earls
A high fidelity fluid-structure interaction simulation may require many days to run, on hundreds of cores. This poses a serious burden, both in terms of time and economic considera…