Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models.
Yuchen WuMinshuo ChenZihao LiMengdi WangYuting WeiPublished in: CoRR (2024)
Keyphrases
- gaussian mixture model
- theoretical insights
- mixture model
- em algorithm
- feature vectors
- speaker recognition
- maximum likelihood
- speaker identification
- expectation maximization
- probability density
- feature space
- variational bayes
- probability density function
- density estimation
- gaussian mixture
- finite mixtures
- gaussian distribution
- model selection
- image compression
- state space
- active learning
- bayesian networks
- neural network