Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems.
Gabriel Missael BarcoAlexandre AdamConnor StoneYashar HezavehLaurence Perreault LevasseurPublished in: CoRR (2024)
Keyphrases
- inverse problems
- data driven
- high dimensional
- global optimization
- image reconstruction
- parameter space
- convex optimization
- emission tomography
- optimization methods
- optimization problems
- high dimensional data
- dimensionality reduction
- computationally expensive
- partial differential equations
- feature space
- pairwise
- early vision
- neural network
- video sequences
- high quality
- computer vision