Towards Fast Stochastic Sampling in Diffusion Generative Models.
Kushagra PandeyMaja RudolphStephan MandtPublished in: CoRR (2024)
Keyphrases
- generative model
- stochastic sampling
- markov chain monte carlo
- importance sampling
- simulated annealing
- computationally inexpensive
- probabilistic model
- bayesian framework
- prior knowledge
- posterior probability
- mixture model
- discriminative models
- discriminative learning
- partial solutions
- monte carlo
- generative and discriminative models
- solution space
- conditional random fields
- em algorithm
- kalman filter
- latent variables
- topic models
- expectation maximization
- graphical models
- information retrieval systems
- semi supervised
- bayesian networks
- clustering algorithm
- information retrieval