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Modeling Soft Intervention Effects for Implicit Causal Representation Learning

Aug 2026 · Machine-mediated learning · Vol 115 · 0 citations · 51 references

TL;DR

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 identifiability and practical applicability.

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