DyCAST-Net reads causal links and lags from a hybrid TCN plus sparse-attention predictor and reports top F1 and delay accuracy on finance and fMRI causal discovery benchmarks.
In: Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS), 6000-6010 (2017)
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Dynamic Sparse Causal-Attention Temporal Networks for Interpretable Causality Discovery in Multivariate Time Series
DyCAST-Net reads causal links and lags from a hybrid TCN plus sparse-attention predictor and reports top F1 and delay accuracy on finance and fMRI causal discovery benchmarks.