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20062025
most citedGPLaSDI: Gaussian Process-based Interpretable Latent Space Dynamics Identification through Deep Autoencoder

34 citations · 79 across the 18 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022★ 1 cited

Certified data-driven physics-informed greedy auto-encoder simulator

Xiaolong He, Youngsoo Choi, William D. Fries +2

A parametric adaptive greedy Latent Space Dynamics Identification (gLaSDI) framework is developed for accurate, efficient, and certified data-driven physics-informed greedy auto-en…

physics.flu-dyn2022★ 1 cited

Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-meshkov Instabilities

Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry +3

Richtmyer-Meshkov Instability (RMI) is a complicated phenomenon that occurs when a shockwave passes through a perturbed interface. Over a thousand hydrodynamic simulations were per…