3 citations · 3 across the 4 of their papers we have counts for
4 papers
ASIND: Alternating Sparse Identification for Predicting Network Dynamics Without Knowledge
Mingyu Kang, Jianxi Gao, Wenwu Yu +1
Identifying network dynamics is a critical yet challenging task to to understand the mechanism of real-world social systems. There are two types of algorithms, and one requires the…
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
Huiyang Yi, Yanyan He, Duxin Chen +3
Causal discovery aims to learn causal relationships between variables from targeted data, making it a fundamental task in machine learning. However, causal discovery algorithms oft…
Spatio-Temporal Graphical Counterfactuals: An Overview
Mingyu Kang, Duxin Chen, Ziyuan Pu +2
Counterfactual thinking is a crucial yet challenging topic for artificial intelligence to learn knowledge from data and ultimately improve performance for new scenarios. Many resea…
Identifying Unique Spatial-Temporal Bayesian Network without Markov Equivalence
Mingyu Kang, Duxin Chen, Ning Meng +2
Identifying vanilla Bayesian network to model spatial-temporal causality can be a critical yet challenging task. Different Markovian-equivalent directed acyclic graphs would be ide…