Machine Learning within the scientific workflow
As I transition from theoretical physics further into machine learning research, I have increasingly found myself interested in a somewhat different level of research problem. Rather than asking only which model performs best on a particular scientific dataset, I have naturally gravitated toward the methodological question of how we should