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cs.LG2026
Explainable Transformer Models for Clinical Prediction Tasks on Structured Electronic Health Records
Jun Ni Du, Lukas Adamek, Maxim Kryukov +4
Predictive models over structured electronic health records (EHRs) remain central to machine learning for healthcare, but few have jointly emphasized quantitative laboratory inform…
cs.LG2025★ 1 cited
Distilling and exploiting quantitative insights from Large Language Models for enhanced Bayesian optimization of chemical reactions
Roshan Patel, Saeed Moayedpour, Louis De Lescure +4
Machine learning and Bayesian optimization (BO) algorithms can significantly accelerate the optimization of chemical reactions. Transfer learning can bolster the effectiveness of B…