PDE-Based (Partial Differential Equation) Models for Understanding Information Flow in Deep Neural Networks
Transplanting the deep neural networks into high-stakes decision-making has left folks more and more willing to have a clear mathematically-founded understanding of how they actually operate. Researchers have been advocating the use of models that are not only transparent but also mathematically sound. The existing pos...