Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2009.07110
Cited By
MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization
15 September 2020
Wei-Neng Chen
Faez Ahmed
AI4CE
Re-assign community
ArXiv
PDF
HTML
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
Phillip Mueller
Lars Mikelsons
AI4CE
30
1
0
15 Jul 2024
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
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
35
0
0
27 Sep 2023
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
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
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
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
Ayush Raina
Jonathan Cagan
Christopher McComb
AI4CE
10
9
0
28 Nov 2022
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
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
Lyle Regenwetter
Faez Ahmed
4
7
0
06 May 2022
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
Wei Chen
Doksoo Lee
Wei Chen
AI4CE
25
2
0
15 Dec 2021
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
A. Nobari
Muhammad Fathy Rashad
Faez Ahmed
GAN
AI4CE
11
48
0
10 Mar 2021
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
17
54
0
03 Mar 2021
Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation
Wei Chen
Arun Ramamurthy
22
23
0
07 Jan 2021
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012
1