Towards Gaussian Process for operator learning: An uncertainty aware resolution independent operator learning algorithm for computational mechanics
This paper presents a GP-based neural operator for parametric differential equations, achieving high accuracy, scalability, and robust uncertainty estimation, outperforming traditional models.
Dec 28, 2024
