Convex Regularization behind Neural Reconstruction.
Arda SahinerMorteza MardaniBatu OzturklerMert PilanciJohn M. PaulyPublished in: ICLR (2021)
Keyphrases
- horizontal and vertical projections
- network architecture
- risk minimization
- neural network
- convex optimization
- three dimensional
- image reconstruction
- convex formulation
- compressed sensing
- convex hull
- discrete tomography
- neural model
- high resolution
- convex sets
- minimization problems
- bio inspired
- regularization parameter
- reconstruction process
- convex functions
- convex relaxation
- linear programming
- compressive sensing
- convex programming
- markov random field
- augmented lagrangian
- associative memory
- parameter selection
- optimal kernel
- discrete sets
- loss function
- data dependent