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cs.LG2026
Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation
Olivia Jullian Parra, Sara Zoccheddu, David Catalan Cerezo +7
Target trial emulation (TTE) enables causal questions to be studied with observational data when randomized controlled trials (RCTs) are infeasible. Yet treatment-effect methods of…
cs.LG2025
Leveraging Reinforcement Learning, Genetic Algorithms and Transformers for background determination in particle physics
Guillermo Hijano Mendizabal, Davide Lancierini, Alex Marshall +8
Experimental studies of beauty hadron decays face significant challenges due to a wide range of backgrounds arising from the numerous possible decay channels with similar final sta…