3 papers
cs.LG2019
Thick-Net: Parallel Network Structure for Sequential Modeling
Yu-Xuan Li, Jin-Yuan Liu, Liang Li +1
Recurrent neural networks have been widely used in sequence learning tasks. In previous studies, the performance of the model has always been improved by either wider or deeper str…
stat.ML2019
Machine Discovery of Partial Differential Equations from Spatiotemporal Data
Ye Yuan, Junlin Li, Liang Li +9
The study presents a general framework for discovering underlying Partial Differential Equations (PDEs) using measured spatiotemporal data. The method, called Sparse Spatiotemporal…
cs.AI2018
Fast OBDD Reordering using Neural Message Passing on Hypergraph
Feifan Xu, Fei He, Enze Xie +1
Ordered binary decision diagrams (OBDDs) are an efficient data structure for representing and manipulating Boolean formulas. With respect to different variable orders, the OBDDs' s…