161 citations · 199 across the 6 of their papers we have counts for
6 papers
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…
Dynamic Window-level Granger Causality of Multi-channel Time Series
Zhiheng Zhang, Wenbo Hu, Tian Tian +1
Granger causality method analyzes the time series causalities without building a complex causality graph. However, the traditional Granger causality method assumes that the causali…
VFlow: More Expressive Generative Flows with Variational Data Augmentation
Jianfei Chen, Cheng Lu, Biqi Chenli +2
Generative flows are promising tractable models for density modeling that define probabilistic distributions with invertible transformations. However, tractability imposes architec…
Semi-crowdsourced Clustering with Deep Generative Models
Yucen Luo, Tian Tian, Jiaxin Shi +2
We consider the semi-supervised clustering problem where crowdsourcing provides noisy information about the pairwise comparisons on a small subset of data, i.e., whether a sample p…
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li, Tian Tian +4
Deep learning on graph structures has shown exciting results in various applications. However, few attentions have been paid to the robustness of such models, in contrast to numero…
Jointly Modeling Topics and Intents with Global Order Structure
Bei Chen, Jun Zhu, Nan Yang +3
Modeling document structure is of great importance for discourse analysis and related applications. The goal of this research is to capture the document intent structure by modelin…