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MO-PaDGAN: Reparameterizing Engineering Designs for Augmented
  Multi-objective Optimization

MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization

15 September 2020
Wei-Neng Chen
Faez Ahmed
    AI4CE
ArXivPDFHTML

Papers citing "MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization"

18 / 18 papers shown
Title
Exploring the Potentials and Challenges of Deep Generative Models in
  Product Design Conception
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Phillip Mueller
Lars Mikelsons
AI4CE
36
1
0
15 Jul 2024
Generative VS non-Generative Models in Engineering Shape Optimization
Generative VS non-Generative Models in Engineering Shape Optimization
Muhammad Usama
Zahid Masood
Shahroz Khan
Konstantinos V. Kostas
P. Kaklis
32
4
0
13 Feb 2024
Deep Learning in Deterministic Computational Mechanics
Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
35
0
0
27 Sep 2023
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural
  Networks
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks
A. Nobari
J. Rey
S. Kodali
Matthew Jones
Faez Ahmed
AI4CE
11
1
0
14 Aug 2023
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
Navid Ansari
Hans-Peter Seidel
Vahid Babaei
11
2
0
01 Jun 2023
ShipHullGAN: A generic parametric modeller for ship hull design using
  deep convolutional generative model
ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model
Shahroz Khan
K. Goucher-Lambert
Konstantino Kostas
P. Kaklis
GAN
28
27
0
29 Apr 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative
  Models in Engineering Design
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
Lyle Regenwetter
Akash Srivastava
Dan Gutfreund
Faez Ahmed
11
27
0
06 Feb 2023
Learning to design without prior data: Discovering generalizable design
  strategies using deep learning and tree search
Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search
Ayush Raina
Jonathan Cagan
Christopher McComb
AI4CE
12
9
0
28 Nov 2022
Generative Thermal Design Through Boundary Representation and
  Multi-Agent Cooperative Environment
Generative Thermal Design Through Boundary Representation and Multi-Agent Cooperative Environment
Hadi Keramati
F. Hamdullahpur
AI4CE
13
0
0
16 Aug 2022
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models
  in Design
Towards Goal, Feasibility, and Diversity-Oriented Deep Generative Models in Design
Lyle Regenwetter
Faez Ahmed
AI4CE
9
2
0
14 Jun 2022
Design Target Achievement Index: A Differentiable Metric to Enhance Deep
  Generative Models in Multi-Objective Inverse Design
Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design
Lyle Regenwetter
Faez Ahmed
6
7
0
06 May 2022
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form
  Geometric Uncertainty
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty
Wei-Neng Chen
Doksoo Lee
O. Balogun
Wei Chen
AI4CE
12
11
0
21 Feb 2022
Deep Generative Models for Geometric Design Under Uncertainty
Deep Generative Models for Geometric Design Under Uncertainty
Wei Chen
Doksoo Lee
Wei Chen
AI4CE
25
2
0
15 Dec 2021
Deep Generative Models in Engineering Design: A Review
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter
A. Nobari
Faez Ahmed
3DV
AI4CE
24
175
0
21 Oct 2021
CreativeGAN: Editing Generative Adversarial Networks for Creative Design
  Synthesis
CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis
A. Nobari
Muhammad Fathy Rashad
Faez Ahmed
GAN
AI4CE
16
48
0
10 Mar 2021
IH-GAN: A Conditional Generative Model for Implicit Surface-Based
  Inverse Design of Cellular Structures
IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
Jun Wang
Wei Chen
Daicong Da
M. Fuge
R. Rai
19
55
0
03 Mar 2021
Deep Generative Model for Efficient 3D Airfoil Parameterization and
  Generation
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
Wei Chen
Arun Ramamurthy
25
23
0
07 Jan 2021
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012
1