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Overcoming data scarcity with transfer learning
Here, we describe and compare three techniques for transfer learning: multi-task, difference, and explicit latent variable architectures.
High-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates
The optimization of composition and processing to obtain materials that exhibit desirable characteristics has historically relied on a combination of scientist intuition, trial and error, and luck.
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