Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design.
Lyle RegenwetterAkash SrivastavaDan GutfreundFaez AhmedPublished in: CoRR (2023)
Keyphrases
- engineering design
- generative model
- artificial intelligence
- design process
- mixture model
- discriminative learning
- probabilistic model
- em algorithm
- deep belief networks
- prior knowledge
- maximum entropy principle
- similarity measure
- hierarchical hidden markov models
- discriminative models
- engineering education
- semi supervised
- conditional random fields
- generative and discriminative models
- topic models
- engineering problems
- expectation maximization
- maximum entropy
- object recognition
- training data
- image processing
- machine learning
- data sets