Learning where to learn: Training data distribution optimization for scientific machine learning

Nicolas Guerra, Nicholas H. Nelsen, Yunan Yang

In scientific machine learning, models are routinely deployed with parameter values or boundary conditions far from those used in training. This paper studies the learning-where-to…