Padgan: Learning to generate high-quality novel designs
Deep generative models are proven to be a useful tool for automatic design synthesis and
design space exploration. When applied in engineering design, existing generative models …
design space exploration. When applied in engineering design, existing generative models …
PaDGAN: A generative adversarial network for performance augmented diverse designs
Deep generative models are proven to be a useful tool for automatic design synthesis and
design space exploration. When applied in engineering design, existing generative models …
design space exploration. When applied in engineering design, existing generative models …
Auto-summarization: A step towards unsupervised learning of a submodular mixture
We introduce an approach that requires the specification of only a handful of
hyperparameters to determine a mixture of submodular functions for use in data science …
hyperparameters to determine a mixture of submodular functions for use in data science …