Modeling Soft Intervention Effects for Implicit Causal Representation Learning
The proposed ICRL-SM, a novel method for Implicit Causal Representation Learning from soft interventions using a causal mechanism switch variable, demonstrates strong results on both synthetic benchmarks and real-world image datasets, highlighting the potential of ICRL-SM to bridge the gap between theoretical identifia...