Unbiased and Second-Order-Free Training for High-Dimensional PDEs
arXiv:2605.14643v1 Announce Type: new
Abstract: Deep learning methods based on backward stochastic differential equations (BSDEs) have emerged as competitive alternatives to physics-informed neural networks (PINNs) for solving high-dimensional partial…