Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
Name
Beyond_Statistical_Similarity__Rethinking_Metrics_for_Deep_Generative_Models_in_Engineering_Design[55].pdf
Description
Accepted version
Size
21.32 MB
Format
Adobe PDF
Checksum (MD5)
b7c94dc665cd0e92ff269b622dac2270
Author(s) • • •
Regenwetter, Lyle
Srivastava, Akash
Gutfreund, Dan
Ahmed, Faez
Date Issued
December 2023
Journal
Computer-Aided Design
Publisher
Elsevier BV
Citation
Regenwetter, Lyle, Srivastava, Akash, Gutfreund, Dan and Ahmed, Faez. 2023. "Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design." Computer-Aided Design, 165.
Version
Author's final manuscript
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
MIT-IBM Watson AI Lab
Terms of Use
Creative Commons Attribution-Noncommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.cad.2023.103609