Combining outlier-based novelty scores with strategic non-smooth exploration makes autonomous experiments sample more diverse data and predict a known physical property better than standard optimization.
Autonomous experiments using active learning and AI,
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Beyond Optimization: Exploring Novelty Discovery in Autonomous Experiments
Combining outlier-based novelty scores with strategic non-smooth exploration makes autonomous experiments sample more diverse data and predict a known physical property better than standard optimization.