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Diffusion Models as Constrained Samplers for Optimization with Unknown
  Constraints

Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints

28 February 2024
Lingkai Kong
Yuanqi Du
Wenhao Mu
Kirill Neklyudov
Valentin De Bortol
Haorui Wang
D. Wu
Aaron Ferber
Yi-An Ma
Carla P. Gomes
Chao Zhang
ArXivPDFHTML

Papers citing "Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints"

13 / 13 papers shown
Title
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
Taeyoung Yun
Kiyoung Om
Jaewoo Lee
Sujin Yun
Jinkyoo Park
48
1
0
24 Feb 2025
Robust Optimization with Diffusion Models for Green Security
Lingkai Kong
Haichuan Wang
Yuqi Pan
Cheol Woo Kim
Mingxiao Song
Alayna Nguyen
Tonghan Wang
Haifeng Xu
Milind Tambe
35
0
0
19 Feb 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu
Tim Z. Xiao
Weiyang Liu
Yoshua Bengio
Dinghuai Zhang
118
2
0
10 Dec 2024
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization
D. Wu
Nikki Lijing Kuang
Ruijia Niu
Yi-An Ma
Rose Yu
40
0
0
30 Jun 2024
Guided Trajectory Generation with Diffusion Models for Offline
  Model-based Optimization
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
Taeyoung Yun
Sujin Yun
Jaewoo Lee
Jinkyoo Park
OffRL
37
5
0
29 Jun 2024
Improving GFlowNets for Text-to-Image Diffusion Alignment
Improving GFlowNets for Text-to-Image Diffusion Alignment
Dinghuai Zhang
Yizhe Zhang
Jiatao Gu
Ruixiang Zhang
J. Susskind
Navdeep Jaitly
Shuangfei Zhai
EGVM
90
7
0
02 Jun 2024
Bridging Model-Based Optimization and Generative Modeling via
  Conservative Fine-Tuning of Diffusion Models
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models
Masatoshi Uehara
Yulai Zhao
Ehsan Hajiramezanali
Gabriele Scalia
Gökçen Eraslan
Avantika Lal
Sergey Levine
Tommaso Biancalani
45
13
0
30 May 2024
Bayesian ECG reconstruction using denoising diffusion generative models
Bayesian ECG reconstruction using denoising diffusion generative models
Gabriel Victorino Cardoso
Lisa Bedin
J. Duchâteau
Rémi Dubois
Eric Moulines
DiffM
27
2
0
18 Dec 2023
Manifold Preserving Guided Diffusion
Manifold Preserving Guided Diffusion
Yutong He
Naoki Murata
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
...
Wei-Hsiang Liao
Yuki Mitsufuji
J. Zico Kolter
Ruslan Salakhutdinov
Stefano Ermon
DiffM
116
64
0
28 Nov 2023
Score-based generative models learn manifold-like structures with
  constrained mixing
Score-based generative models learn manifold-like structures with constrained mixing
Wenliang Kevin Li
Ben Moran
DiffM
22
6
0
16 Nov 2023
Sampling is as easy as learning the score: theory for diffusion models
  with minimal data assumptions
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen
Sinho Chewi
Jungshian Li
Yuanzhi Li
Adil Salim
Anru R. Zhang
DiffM
123
245
0
22 Sep 2022
Unifying Likelihood-free Inference with Black-box Optimization and
  Beyond
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
Dinghuai Zhang
Jie Fu
Yoshua Bengio
Aaron Courville
29
13
0
06 Oct 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood
  Estimation
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
Justin Fu
Sergey Levine
OffRL
62
46
0
16 Feb 2021
1