Solving Differential Equations with Generative Adversarial Networks

Solving differential equations with neural networks in an unsupervised manner has become an exciting area of research. Learning differentiable functions which solve differential equations has vast application, and neural networks in particular may provide a range of benefits over traditional numerical methods, ranging from high-dimensional performance to computational efficiency.