Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors.
Top PiriyakulkijYingheng WangVolodymyr KuleshovPublished in: CoRR (2024)
Keyphrases
- diffusion models
- variational inference
- bayesian inference
- posterior distribution
- variational methods
- diffusion model
- information diffusion
- probabilistic model
- social networks
- latent variables
- approximate inference
- probabilistic graphical models
- topic models
- markov networks
- hyperparameters
- probability distribution
- parameter estimation
- influence maximization
- optical flow
- prior information
- gaussian process
- bayesian framework
- posterior probability
- graphical models
- mixture model
- diffusion process
- viral marketing
- anisotropic diffusion
- exact inference
- maximum a posteriori
- exponential family
- image segmentation
- optic flow
- latent dirichlet allocation
- level set
- greedy algorithm
- closed form
- model selection
- semi supervised
- social media
- np hard
- generative model
- expectation maximization
- particle filter