Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design

Bibliographic Details
Main Authors: Regenwetter, Lyle, Srivastava, Akash, Gutfreund, Dan, Ahmed, Faez
Format: Article
Language:English
Published: Elsevier BV 2023
Online Access:https://hdl.handle.net/1721.1/152444
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author Regenwetter, Lyle
Srivastava, Akash
Gutfreund, Dan
Ahmed, Faez
author_facet Regenwetter, Lyle
Srivastava, Akash
Gutfreund, Dan
Ahmed, Faez
author_sort Regenwetter, Lyle
collection MIT
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institution Massachusetts Institute of Technology
language English
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spelling mit-1721.1/1524442023-10-18T03:52:35Z Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design Regenwetter, Lyle Srivastava, Akash Gutfreund, Dan Ahmed, Faez 2023-10-17T18:00:47Z 2023-10-17T18:00:47Z 2023-12 2023-10-17T17:56:03Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/152444 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. en 10.1016/j.cad.2023.103609 Computer-Aided Design Creative Commons Attribution-Noncommercial-NoDerivatives https://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV MIT News office
spellingShingle Regenwetter, Lyle
Srivastava, Akash
Gutfreund, Dan
Ahmed, Faez
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
title Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
title_full Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
title_fullStr Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
title_full_unstemmed Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
title_short Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
title_sort beyond statistical similarity rethinking metrics for deep generative models in engineering design
url https://hdl.handle.net/1721.1/152444
work_keys_str_mv AT regenwetterlyle beyondstatisticalsimilarityrethinkingmetricsfordeepgenerativemodelsinengineeringdesign
AT srivastavaakash beyondstatisticalsimilarityrethinkingmetricsfordeepgenerativemodelsinengineeringdesign
AT gutfreunddan beyondstatisticalsimilarityrethinkingmetricsfordeepgenerativemodelsinengineeringdesign
AT ahmedfaez beyondstatisticalsimilarityrethinkingmetricsfordeepgenerativemodelsinengineeringdesign