Astral: training physics-informed neural networks with error majorants

Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov +1

The primal approach to physics-informed learning is a residual minimization. We argue that residual is, at best, an indirect measure of the error of approximate solution and propos…