AINeutralarXiv – CS AI · 9h ago6/10
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Mask2Cause: Causal Discovery via Adjacency Constrained Causal Attention
Researchers introduce Mask2Cause, a deep learning framework that discovers causal relationships in time series data by integrating causal graph extraction directly into the forecasting process. The method achieves state-of-the-art results while reducing model parameters by over 70% compared to existing approaches.