6 citations · 6 across the 2 of their papers we have counts for
2 papers
stat.ML2021
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales
Yihao Hu, Fearghal O'Donncha, Paulito Palmes +3
This paper presents a novel spatio-temporal LSTM (SPATIAL) architecture for time series forecasting applied to environmental datasets. The framework was evaluated across multiple s…
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…