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06/27/2023
Learning from Invalid Data: On Constraint Satisfaction in Generative Models
Generative models have demonstrated impressive results in vision, langua...
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05/18/2023
Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations
We introduce Multi-Objective Counterfactuals for Design (MCD), a novel m...
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02/06/2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
Deep generative models, such as Variational Autoencoders (VAEs), Generat...
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06/14/2022
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design
Deep Generative Machine Learning Models (DGMs) have been growing in popu...
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05/06/2022
Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design
Deep Generative Machine Learning Models have been growing in popularity ...
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01/25/2022
FRAMED: Data-Driven Structural Performance Analysis of Community-Designed Bicycle Frames
This paper presents a data-driven analysis of the structural performance...
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10/21/2021
Deep Generative Models in Engineering Design: A Review
Automated design synthesis has the potential to revolutionize the modern...
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03/10/2021