2 citations · 3 across the 4 of their papers we have counts for
4 papers
Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics
Zijian Wang, Peng Tao, Luonan Chen
Predicting time-series is of great importance in various scientific and engineering fields. However, in the context of limited and noisy data, accurately predicting dynamics of all…
Dynamical causality under invisible confounders
Jinling Yan, Shao-Wu Zhang, Chihao Zhang +3
Causality inference is prone to spurious causal interactions, due to the substantial confounders in a complex system. While many existing methods based on the statistical methods o…
CIDER: Counterfactual-Invariant Diffusion-based GNN Explainer for Causal Subgraph Inference
Qibin Zhang, Chengshang Lyu, Lingxi Chen +2
Inferring causal links or subgraphs corresponding to a specific phenotype or label based solely on measured data is an important yet challenging task, which is also different from…
Velde: constructing cell potential landscapes by RNA velocity vector field decomposition
Junbo Jia, Luonan Chen
The Waddington landscape serves as a metaphor illustrating the developmental process of cells, likening it to a small ball rolling down various trajectories into valleys. Construct…