Convergence Rates for Approximations of Deterministic Koopman Operators via Inverse Problems.
Nathan PowellAli BoulandJohn A. BurnsAndrew KurdilaPublished in: CDC (2023)
Keyphrases
- inverse problems
- convergence rate
- image reconstruction
- global optimization
- convex optimization
- learning rate
- primal dual
- optimization problems
- optimization methods
- early vision
- super resolution
- partial differential equations
- computer vision
- gaussian kernels
- total variation
- missing data
- high quality
- neural network
- low memory requirements