Working Paper

Product Aesthetic Design: A Machine Learning Augmentation

Alex Burnap

Yale University

John R. Hauser

Massachusetts Institute of Technology

Artem Timoshenko

Northwestern University

Jan 24, 2023


Develops a machine learning model that combines a probabilistic variational autoencoder (VAE) with adversarial components from generative adversarial networks (GAN) and supervised learning that can be used to augment human judgment for autos and other products where aesthetic design plays a major role in market acceptance.

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