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Aligning Optimization Trajectories with Diffusion Models for Constrained
  Design Generation

Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation

29 May 2023
Giorgio Giannone
Akash Srivastava
Ole Winther
Faez Ahmed
    DiffM
    AI4CE
ArXivPDFHTML

Papers citing "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation"

13 / 13 papers shown
Title
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Suk Ki Lee
Hyunwoong Ko
AI4CE
54
0
0
30 Apr 2025
Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach
Pick-and-place Manipulation Across Grippers Without Retraining: A Learning-optimization Diffusion Policy Approach
Xiangtong Yao
Yirui Zhou
Y. Meng
Liangyu Dong
Lin Hong
Zitao Zhang
Zhenshan Bing
Kai Huang
Fuchun Sun
Alois C. Knoll
71
0
0
24 Feb 2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
Jean-Baptiste Bouvier
Kanghyun Ryu
Kartik Nagpal
Qiayuan Liao
K. Sreenath
Negar Mehr
88
2
0
20 Feb 2025
PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation
PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation
Mingyo Seo
Yoonyoung Cho
Yoonchang Sung
Peter Stone
Yuke Zhu
Beomjoon Kim
DiffM
27
0
0
24 Sep 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao
Masatoshi Uehara
Gabriele Scalia
Tommaso Biancalani
Sergey Levine
Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI4CE
52
3
0
17 Jun 2024
Physics-Informed Diffusion Models
Physics-Informed Diffusion Models
Jan-Hendrik Bastek
WaiChing Sun
D. Kochmann
DiffM
AI4CE
47
10
0
21 Mar 2024
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
A. Nobari
Giorgio Giannone
Lyle Regenwetter
Faez Ahmed
AI4CE
25
3
0
07 Feb 2024
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
32
40
0
14 Feb 2023
Concurrent build direction, part segmentation, and topology optimization
  for additive manufacturing using neural networks
Concurrent build direction, part segmentation, and topology optimization for additive manufacturing using neural networks
Hongrui Chen
Aditya Joglekar
Kate S. Whitefoot
L. Kara
3DPC
64
11
0
04 Oct 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
171
49
0
30 May 2022
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
513
0
06 Dec 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,764
0
24 Feb 2021
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
95
167
0
05 Mar 2020
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