Exascale Deep Learning for Scientific Inverse Problems.
Nouamane LaanaitJoshua RomeroJunqi YinM. Todd YoungSean TreichlerVitalii StarchenkoAlbina Y. BorisevichAlex SergeevMichael A. MathesonPublished in: CoRR (2019)
Keyphrases
- deep learning
- inverse problems
- image reconstruction
- global optimization
- high performance computing
- convex optimization
- unsupervised learning
- optimization problems
- optimization methods
- machine learning
- mental models
- smoothness constraint
- partial differential equations
- early vision
- weakly supervised
- co occurrence
- objective function
- data mining
- belief propagation
- image denoising
- super resolution