A Deep Generative Model for Fragment-Based Molecule Generation.
Marco PoddaDavide BacciuAlessio MicheliPublished in: AISTATS (2020)
Keyphrases
- generative model
- probabilistic model
- mixture model
- bayesian framework
- prior knowledge
- em algorithm
- conditional random fields
- semi supervised
- discriminative models
- discriminative learning
- topic models
- expectation maximization
- latent dirichlet allocation
- posterior probability
- feature representations
- markov chain monte carlo
- generative and discriminative models
- high level
- learned models
- semi supervised learning
- spatio temporal