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    Deep Generative Models in Engineering Design: A Review 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 007:;page 71704
    Author(s): Regenwetter, Lyle;Nobari, Amin Heyrani;Ahmed, Faez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Automated design synthesis has the potential to revolutionize the modern engineering design process and improve access to highly optimized and customized products across countless industries. Successfully adapting generative ...
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    Multi-Objective Counterfactuals for Design: A Model-Agnostic Counterfactual Search Method for Multi-Modal Design Modifications 

    Source: Journal of Mechanical Design:;2024:;volume( 147 ):;issue: 002:;page 21401-1
    Author(s): Regenwetter, Lyle; Abu Obaideh, Yazan; Ahmed, Faez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Designers may often ask themselves how to adjust their design concepts to achieve demanding functional goals. To answer such questions, designers must often consider counterfactuals, weighing design alternatives, and their ...
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    BIKED: A Dataset for Computational Bicycle Design With Machine Learning Benchmarks 

    Source: Journal of Mechanical Design:;2021:;volume( 144 ):;issue: 003:;page 31706-1
    Author(s): Regenwetter, Lyle; Curry, Brent; Ahmed, Faez
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, we present “BIKED,” a dataset composed of 4500 individually designed bicycle models sourced from hundreds of designers. We expect BIKED to enable a variety of data-driven design applications for bicycles and ...
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