Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning.
Martin GenzelIngo GühringJan MacDonaldMaximilian MärzPublished in: ICML (2022)
Keyphrases
- deep learning
- inverse problems
- image reconstruction
- global optimization
- unsupervised learning
- machine learning
- convex optimization
- optimization methods
- super resolution
- particle swarm optimization
- mental models
- early vision
- optimization problems
- high resolution
- active learning
- partial differential equations
- smoothness constraint
- multiscale
- image segmentation