most citedDepict noise-driven nonlinear dynamic networks from output data by using high-order correlations

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cs.LG2023

iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models

Tianyu Chen, Kevin Bello, Bryon Aragam +1

Structural causal models (SCMs) are widely used in various disciplines to represent causal relationships among variables in complex systems. Unfortunately, the underlying causal st…