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Found 2 papers, 1 papers with code
Unveil the unseen: Exploit information hidden in noise
Noise and uncertainty are usually the enemy of machine learning, noise in training data leads to uncertainty and inaccuracy in the predictions.
Fragment Graphical Variational AutoEncoding for Screening Molecules with Small Data
In the majority of molecular optimization tasks, predictive machine learning (ML) models are limited due to the unavailability and cost of generating big experimental datasets on the specific task.
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