Deep Differential System Stability - Learning advanced computations from examples (Paper Explained)

Determining the stability properties of differential systems is a challenging task that involves very advanced symbolic and numeric mathematical manipulations. This paper shows that given enough training data, a simple language model with no underlying knowledge of mathematics can learn to solve these problems with remarkably high accuracy. OUTLINE: 0:00 - Intro & Overview 3:15 - Differential System Tasks 11:30 - Datasets & Models 15:15 - Experiments 21:00 - Discussion & My Comments Paper: https://arxiv.o