A Generative Model for Accelerated Inverse Modelling Using a Novel Embedding for Continuous Variables.
Sébastien BompasStefan SandfeldPublished in: CoRR (2023)
Keyphrases
- generative model
- continuous variables
- hidden variables
- discrete variables
- probabilistic model
- bayesian networks
- dynamic systems
- random variables
- latent space
- bayesian framework
- em algorithm
- computationally expensive
- conditional random fields
- structure learning
- prior knowledge
- posterior probability
- semi supervised
- topic models
- markov networks
- routing problem
- expectation maximization
- feature vectors
- pairwise
- convex hull
- data sets