Yuntao Wang, Chi Zhang, Albert S Chen, Guoqiang Wang, Guangtao Fu
Exploring the relationship between urban flood risk and resilience at a high-resolution grid cell scale
The Science of the total environment
paper investigate variety deep learning strategies solving inverse problems classify existing deep learning solutions inverse problems three categories direct mapping data consistency optimizer deep regularizer choose sample inverse problem type compare robustness three categories report statistical analysis differences perform extensive experiments classic problem linear regression three wellknown inverse problems computer vision namely image denoising 3d human face inverse rendering object tracking presence noise outliers selected representative prototypes class inverse problems overall results statistical analyses show solution categories robustness behaviour dependent type inverse problem domain specifically dependent whether problem includes measurement outliers based experimental results conclude proposing robust solution category inverse problem class