Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

5 October 2023

Xiaojian Ma

Ruiqi Gao

Papers citing "Learning Energy-Based Prior Model with Diffusion-Amortized MCMC"

16 / 16 papers shown

Title
Latent Space Energy-based Neural ODEs Sheng Cheng Deqian Kong Jianwen Xie Kookjin Lee Ying Nian Wu Yezhou Yang DiffM 128 1 0 05 Sep 2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling Junn Yong Loo Michelle Adeline Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan DiffM 38 0 0 21 Jul 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 34 3 0 30 Jun 2024
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems Kexiong Yu Hang Zhao Yuhang Huang Renjiao Yi Kai Xu Chenyang Zhu 43 0 0 28 Jun 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 77 7 0 29 May 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space Peiyu Yu Dinghuai Zhang Hengzhi He Xiaojian Ma Ruiyao Miao ... Deqian Kong Ruiqi Gao Jianwen Xie Guang Cheng Ying Nian Wu 48 5 0 27 May 2024
Watermarking Generative Tabular Data Hengzhi He Peiyu Yu Junpeng Ren Ying Nian Wu Guang Cheng 57 4 0 22 May 2024
Learning Latent Space Hierarchical EBM Diffusion Models Jiali Cui Tian Han DiffM 38 1 0 22 May 2024
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models Yasi Zhang Peiyu Yu Yingnian Wu DiffM 48 10 0 10 Apr 2024
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Bo-wen Li DiffM 27 2 0 04 Mar 2024
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 23 11 0 10 Sep 2023
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Zhisheng Xiao Tian Han 55 15 0 19 Sep 2022
Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi Yusuke Iwasawa Wataru Kumagai Yutaka Matsuo BDL SyDa 36 2 0 15 Sep 2022
Functional Regularization for Reinforcement Learning via Learned Fourier Features Alexander C. Li Deepak Pathak 40 16 0 06 Dec 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 180 721 0 02 Mar 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,354 0 12 Dec 2018