AINeutralarXiv – CS AI · 9h ago6/10
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Physical Simulators as Do-Operators: Causal Discovery under Latent Confounders for AI-for-Science
Researchers introduce CFM-SD, a causal discovery method that leverages physical simulators to identify cause-and-effect relationships in scientific domains while handling latent confounders—a common problem in molecular design and materials science. The approach achieves significantly higher accuracy than existing methods and demonstrates practical improvements in real-world applications like toxicity prediction and battery optimization.