Training Neural Networks on Mechanistic Simulations Improves Scientific Inference
Dudley C; Magdaleno R; Harding C; Eisenberg M
Scientists often have to choose between models that are easy to understand and models that make better predictions. This paper introduces a new method that trains neural networks on computer-made science simulations, helping them learn the rules of a system and make stronger forecasts even when the exact equations are not known.