20 citations · 73 across the 12 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.LG2021★ 4 cited
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations
Yingtao Luo, Qiang Liu, Yuntian Chen +3
Partial differential equations (PDEs) that fit scientific data can represent physical laws with explainable mechanisms for various mathematically-oriented subjects, such as physics…
cs.LG2021★ 4 cited
StackVAE-G: An efficient and interpretable model for time series anomaly detection
Wenkai Li, Wenbo Hu, Ting Chen +2
Recent studies have shown that autoencoder-based models can achieve superior performance on anomaly detection tasks due to their excellent ability to fit complex data in an unsuper…
cs.LG2021★ 1 cited
Accurate and Reliable Forecasting using Stochastic Differential Equations
Peng Cui, Zhijie Deng, Wenbo Hu +1
It is critical yet challenging for deep learning models to properly characterize uncertainty that is pervasive in real-world environments. Although a lot of efforts have been made,…