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B. Kailkhura

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BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

No existing model achieves strong generalization across all tasks: even the top-performing model exhibited an average OOD error 3x higher than in-distribution, so developing models with strong OOD generalization is a new frontier challenge in chemical ML.

Evan R. Antoniuk, Shehtab Zaman, Tal Ben-Nun et al. · 14 citations · ⚡1

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