Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design.
Lyle RegenwetterAkash SrivastavaDan GutfreundFaez AhmedPublished in: Comput. Aided Des. (2023)
Keyphrases
- engineering design
- generative model
- probabilistic model
- mixture model
- artificial intelligence
- discriminative learning
- design process
- deep belief networks
- engineering problems
- discriminative models
- maximum entropy principle
- hierarchical hidden markov models
- similarity measure
- semi supervised
- prior knowledge
- em algorithm
- expectation maximization
- topic models
- conditional random fields
- generative and discriminative models
- deep learning
- computer vision
- representational power
- hierarchical models
- bayesian networks
- hidden markov models
- maximum likelihood
- maximum entropy
- semi supervised learning