Sparse aNETT for Solving Inverse Problems with Deep Learning.
Daniel ObmannLinh V. NguyenJohannes SchwabMarkus HaltmeierPublished in: CoRR (2020)
Keyphrases
- deep learning
- inverse problems
- image reconstruction
- global optimization
- unsupervised learning
- convex optimization
- machine learning
- optimization methods
- partial differential equations
- weakly supervised
- computationally expensive
- mental models
- optimization problems
- high dimensional
- image denoising
- sparse representation
- smoothness constraint
- early vision