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20202022
most citedPhysics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data

15 citations · 20 across the 5 of their papers we have counts for

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cs.LG2022★ 3 cited

Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty

Luning Sun, Daniel Zhengyu Huang, Hao Sun +1

Nonlinear dynamics are ubiquitous in science and engineering applications, but the physics of most complex systems is far from being fully understood. Discovering interpretable gov…

cs.LG2022

An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions

Ehsan Adeli, Luning Sun, Jianxun Wang +1

In this research paper, we study the capability of artificial neural network models to emulate storm surge based on the storm track/size/intensity history, leveraging a database of…