Mask2Cause recovers causal graphs directly during time-series forecasting via adjacency-constrained masked attention and achieves state-of-the-art discovery performance with over 70% reduction in forecasting parameters on average.
Towards a rigorous assessment of systems biology models: the dream3 challenges.PloS one, 5(2):e9202
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Mask2Cause: Causal Discovery via Adjacency Constrained Causal Attention
Mask2Cause recovers causal graphs directly during time-series forecasting via adjacency-constrained masked attention and achieves state-of-the-art discovery performance with over 70% reduction in forecasting parameters on average.