ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.02913
  4. Cited By
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative
  Models in Engineering Design

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

6 February 2023
Lyle Regenwetter
Akash Srivastava
Dan Gutfreund
Faez Ahmed
ArXivPDFHTML

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

21 / 21 papers shown
Title
GeoBiked: A Dataset with Geometric Features and Automated Labeling
  Techniques to Enable Deep Generative Models in Engineering Design
GeoBiked: A Dataset with Geometric Features and Automated Labeling Techniques to Enable Deep Generative Models in Engineering Design
Phillip Mueller
Sebastian Mueller
Lars Mikelsons
26
1
0
25 Sep 2024
CAD-Prompted Generative Models: A Pathway to Feasible and Novel
  Engineering Designs
CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs
Leah Chong
Jude Rayan
Steven Dow
Ioanna Lykourentzou
Faez Ahmed
DiffM
35
3
0
11 Jul 2024
Bridging Design Gaps: A Parametric Data Completion Approach With Graph
  Guided Diffusion Models
Bridging Design Gaps: A Parametric Data Completion Approach With Graph Guided Diffusion Models
Rui Zhou
Chenyang Yuan
Frank Permenter
Yanxia Zhang
Nikos Arechiga
Matt Klenk
Faez Ahmed
DiffM
35
0
0
17 Jun 2024
Scorecards for Synthetic Medical Data Evaluation and Reporting
Scorecards for Synthetic Medical Data Evaluation and Reporting
Ghada Zamzmi
Adarsh Subbaswamy
E. Sizikova
Edward Margerrison
Jana G. Delfino
Aldo Badano
32
1
0
17 Jun 2024
Exploring the Capabilities of Large Language Models for Generating
  Diverse Design Solutions
Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
Kevin Ma
Daniele Grandi
Christopher McComb
K. Goucher-Lambert
53
1
0
02 May 2024
Elicitron: An LLM Agent-Based Simulation Framework for Design
  Requirements Elicitation
Elicitron: An LLM Agent-Based Simulation Framework for Design Requirements Elicitation
Mohammadmehdi Ataei
Hyunmin Cheong
Daniele Grandi
Ye Wang
Nigel Morris
Alexander Tessier
42
10
0
04 Apr 2024
From Cloud to Edge: Rethinking Generative AI for Low-Resource Design
  Challenges
From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
Sai Krishna Revanth Vuruma
Ashley Margetts
Jianhai Su
Faez Ahmed
Biplav Srivastava
38
5
0
20 Feb 2024
ShipGen: A Diffusion Model for Parametric Ship Hull Generation with
  Multiple Objectives and Constraints
ShipGen: A Diffusion Model for Parametric Ship Hull Generation with Multiple Objectives and Constraints
Noah J. Bagazinski
Faez Ahmed
37
8
0
09 Nov 2023
Opportunities for Large Language Models and Discourse in Engineering
  Design
Opportunities for Large Language Models and Discourse in Engineering Design
Jan Göpfert
J. Weinand
Patrick Kuckertz
D. Stolten
AI4CE
36
4
0
15 Jun 2023
A Meta-Generation framework for Industrial System Generation
A Meta-Generation framework for Industrial System Generation
Fouad Oubari
Raphael Meunier
Rodrigue Décatoire
Mathilde Mougeot
AI4CE
16
0
0
08 Jun 2023
FigGen: Text to Scientific Figure Generation
FigGen: Text to Scientific Figure Generation
Juan A. Rodriguez
David Vazquez
I. Laradji
M. Pedersoli
Pau Rodríguez López
DiffM
14
6
0
01 Jun 2023
Conceptual Design Generation Using Large Language Models
Conceptual Design Generation Using Large Language Models
Kevin Ma
Daniele Grandi
Christopher McComb
K. Goucher-Lambert
28
19
0
30 May 2023
MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal
  Design Modifications
MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications
Lyle Regenwetter
Yazan Abu Obaideh
Faez Ahmed
23
2
0
18 May 2023
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design
  Applications
DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications
Cyril Picard
Jürg Schiffmann
Faez Ahmed
34
8
0
15 May 2023
Multi-modal Machine Learning in Engineering Design: A Review and Future
  Directions
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions
Binyang Song
Ruilin Zhou
Faez Ahmed
AI4CE
37
40
0
14 Feb 2023
Diffusion Models in Vision: A Survey
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffM
VLM
MedIm
194
1,143
0
10 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,304
0
02 Sep 2022
FRAMED: An AutoML Approach for Structural Performance Prediction of
  Bicycle Frames
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames
Lyle Regenwetter
Colin Weaver
Faez Ahmed
AI4CE
32
17
0
25 Jan 2022
TopologyGAN: Topology Optimization Using Generative Adversarial Networks
  Based on Physical Fields Over the Initial Domain
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
Zhenguo Nie
Tong Lin
Haoliang Jiang
L. Kara
AI4CE
103
168
0
05 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
285
10,354
0
12 Dec 2018
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
1