End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics.
Alexander ShmakovKevin GreifMichael James FentonAishik GhoshPierre BaldiDaniel WhitesonPublished in: CoRR (2023)
Keyphrases
- end to end
- inverse problems
- high energy physics
- diffusion models
- diffusion model
- global optimization
- image reconstruction
- information diffusion
- convex optimization
- scientific data
- optimization methods
- social networks
- optimization problems
- image segmentation
- early vision
- smoothness constraint
- optical flow
- partial differential equations
- data collection
- influence maximization
- information flow
- particle swarm optimization
- higher order
- social media
- multiscale
- viral marketing
- high quality
- image sequences