Neural Network Approximation of Lipschitz Functions in High Dimensions with Applications to Inverse Problems.
Santhosh KarnikRongrong WangMark A. IwenPublished in: CoRR (2022)
Keyphrases
- high dimensions
- inverse problems
- neural network
- image reconstruction
- high dimensional data
- global optimization
- convex optimization
- high dimensional
- optimization methods
- optimization problems
- high dimensional spaces
- poor quality
- smoothness constraint
- early vision
- dimensionality reduction
- basis functions
- computationally expensive
- partial differential equations
- pattern recognition