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cs.LG2025
A Gradient-based Causal Discovery Framework with Applications to Complex Industrial Processes
Meiliang Liu, Huiwen Dong, Xiaoxiao Yang +6
With the advancement of deep learning technologies, various neural network-based Granger causality models have been proposed. Although these models have demonstrated notable improv…
cs.LG2025
Kolmogorov-Arnold Networks for Time Series Granger Causality Inference
Meiliang Liu, Yunfang Xu, Zijin Li +4
We propose the Granger causality inference Kolmogorov-Arnold Networks (KANGCI), a novel architecture that extends the recently proposed Kolmogorov-Arnold Networks (KAN) to the doma…