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

Kirill Neklyudov

Valentin De Bortol

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 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 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 Taeyoung Yun Sujin Yun Jaewoo Lee Jinkyoo Park OffRL 37 5 0 29 Jun 2024
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 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 Gabriel Victorino Cardoso Lisa Bedin J. Duchâteau Rémi Dubois Eric Moulines DiffM 27 2 0 18 Dec 2023
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 Wenliang Kevin Li Ben Moran DiffM 24 6 0 16 Nov 2023
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 Dinghuai Zhang Jie Fu Yoshua Bengio Aaron Courville 29 13 0 06 Oct 2021
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation Justin Fu Sergey Levine OffRL 62 46 0 16 Feb 2021