End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics.
Alexander ShmakovKevin GreifMichael James FentonAishik GhoshPierre BaldiDaniel WhitesonPublished in: NeurIPS (2023)
Keyphrases
- end to end
- inverse problems
- high energy physics
- diffusion models
- diffusion model
- image reconstruction
- global optimization
- information diffusion
- convex optimization
- social networks
- optimization problems
- optimization methods
- scientific data
- partial differential equations
- image segmentation
- early vision
- influence maximization
- optical flow
- parameter space
- high order
- super resolution
- data management
- multiresolution
- viral marketing
- multiscale