Using VAEs to Learn Latent Variables: Observations on Applications in cryo-EM.
Daniel G. EdelbergRoy R. LedermanPublished in: CoRR (2023)
Keyphrases
- latent variables
- probabilistic model
- max margin
- latent space
- latent variable models
- posterior distribution
- prior knowledge
- hierarchical model
- variational bayes
- expectation maximization
- probabilistic latent semantic analysis
- topic models
- random variables
- real valued
- hidden variables
- approximate inference
- gaussian process
- structural svms
- observed variables
- generative model
- conditionally independent
- mixture model
- factor graphs
- structured prediction
- em algorithm
- structured output
- co occurrence
- knowledge discovery
- observational data
- electron microscopy
- bayesian networks
- gibbs sampling
- causal relationships