#machine learning
Aug 2025
Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
Across various physical and biomedical problems, where direct parameter measurements are prohibitively expensive or unattainable, Neptune significantly outperforms existing methods, achieving robust parameter estimation from as few as 45 measurements and reducing parameter estimation errors by up to two orders of magnitude.
Xuyang Li, Mahdi Masmoudi, R. Gharbi et al.
· arXiv.org · 1 citation