2025
Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics
NeurIPS 2025spotlight
Recently, physics-informed neural networks (PINNs) have gained attention in the scientific community for their potential to solve partial differential equations (PDEs). However, they face challenges related to resource efficiency and slow convergence. Adaptive sampling methods, which prioritize coll…