To be or not to be stable, that is the question: understanding neural networks for inverse problems.
Davide EvangelistaJames G. NagyElena MorottiElena Loli PiccolominiPublished in: CoRR (2022)
Keyphrases
- inverse problems
- neural network
- global optimization
- image reconstruction
- convex optimization
- pattern recognition
- optimization problems
- partial differential equations
- genetic algorithm
- optimization methods
- early vision
- three dimensional
- image sequences
- particle swarm optimization
- computationally efficient
- smoothness constraint