2 papers
stat.ML2025
Sequential Bayesian Design for Efficient Surrogate Construction in the Inversion of Darcy Flows
Hongji Wang, Hongqiao Wang, Jinyong Ying +1
Inverse problems governed by partial differential equations (PDEs) play a crucial role in various fields, including computational science, image processing, and engineering. Partic…
math.NA2024
Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance Tomography
Qingping Zhou, Guixian Xu, Zhexin Wen +1
Physics-guided deep learning is an important prevalent research topic in scientific machine learning, which has tremendous potential in various complex applications including scien…