100 citations · 204 across the 32 of their papers we have counts for
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math.NA2020★ 6 cited
Neural-PDE: A RNN based neural network for solving time dependent PDEs
Yihao Hu, Tong Zhao, Shixin Xu +2
Partial differential equations (PDEs) play a crucial role in studying a vast number of problems in science and engineering. Numerically solving nonlinear and/or high-dimensional PD…
math.ST2020★ 4 cited
Optimal Bayesian estimation of Gaussian mixtures with growing number of components
Ilsang Ohn, Lizhen Lin
We study Bayesian estimation of finite mixture models in a general setup where the number of components is unknown and allowed to grow with the sample size. An assumption on growin…