Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning

概要

arXiv:2605.05217v1 Announce Type: cross Abstract: We propose a self-supervised physics-informed neural network (PINN) framework that adaptively balances physics-based and data-driven supervision for scientific machine learning under data scarcity. Unlike prior PINNs that rely on fixed or heuristic …