A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model

13 May 2022

Papers citing "A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model"

42 / 42 papers shown

Title
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching Junn Yong Loo Michelle Adeline Julia Kaiwen Lau Fang Yu Leong Hwa Hui Tew Arghya Pal Vishnu Monn Baskaran Chee-Ming Ting Raphaël C.-W. Phan BDL 66 0 0 22 Apr 2025
Learning Energy-Based Models by Self-normalising the Likelihood Hugo Senetaire Paul Jeha Pierre-Alexandre Mattei J. Frellsen 34 0 0 10 Mar 2025
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate Paul Jeha Will Grathwohl Michael Riis Andersen Carl Henrik Ek J. Frellsen DiffM 29 1 0 22 Aug 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 31 3 0 30 Jun 2024
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue L. Pang Bo An Haipeng Chen Sanjay Chawla 41 3 0 02 May 2024
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs Yihong Luo Xiaolong Chen Xinghua Qu Jing Tang 53 6 0 19 Mar 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 25 2 0 04 Mar 2024
Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning Sangwoong Yoon Dohyun Kwon Himchan Hwang Yung-Kyun Noh Frank C. Park 25 0 0 06 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 23 6 0 04 Dec 2023
Energy-Calibrated VAE with Test Time Free Lunch Yihong Luo Si-Huang Qiu Xingjian Tao Yujun Cai Jing Tang 19 4 0 07 Nov 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach Sangwoong Yoon Young-Uk Jin Yung-Kyun Noh Frank C. Park 21 12 0 28 Oct 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models Belhal Karimi Jianwen Xie Ping Li DiffM 28 0 0 19 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 16 11 0 05 Oct 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 23 11 0 10 Sep 2023
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Torsten Bertram AI4CE 28 5 0 31 Aug 2023
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics A. Carbone A. Decelle Lorenzo Rosset Beatriz Seoane SyDa 16 3 0 13 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Z. Li Zhihua Zhang DiffM 17 8 0 04 Jul 2023
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation Weinan Song Y. Zhu Lei He Yingnian Wu Jianwen Xie 17 1 0 26 Jun 2023
Learning Unnormalized Statistical Models via Compositional Optimization Wei Jiang Jiayu Qin Lingyu Wu Changyou Chen Tianbao Yang Lijun Zhang 28 3 0 13 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 16 8 0 10 Jun 2023
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference Yan Xu Deqian Kong Dehong Xu Ziwei Ji Bo Pang Pascale Fung Yingting Wu 20 6 0 01 Jun 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 13 2 0 01 Jun 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 16 4 0 30 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 29 10 0 26 May 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation Y. Zhu Jianwen Xie Ping Li MedIm 20 4 0 16 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo Chuofan Ma Yi-Xin Jiang Zehuan Yuan Yizhou Yu Ping Luo DiffM 17 6 0 04 Apr 2023
Information-Theoretic GAN Compression with Variational Energy-based Model Minsoo Kang Hyewon Yoo Eunhee Kang Sehwan Ki Hyong-Euk Lee Bohyung Han GAN 20 3 0 28 Mar 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning Yang Zhao Jianwen Xie Ping Li GAN 33 3 0 21 Mar 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 32 14 0 06 Mar 2023
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao Xiantong Zhen Shengcai Liao Cees G. M. Snoek TTA 48 17 0 22 Feb 2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding Takeru Oba Norimichi Ukita 21 3 0 10 Feb 2023
Explaining the effects of non-convergent sampling in the training of Energy-Based Models E. Agoritsas Giovanni Catania A. Decelle Beatriz Seoane DiffM 14 10 0 23 Jan 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference Jianwen Xie Y. Zhu Yifei Xu Dingcheng Li Ping Li BDL DRL 19 7 0 23 Jan 2023
Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference Pierre Glaser Michael Arbel Samo Hromadka Arnaud Doucet A. Gretton 25 2 0 26 Oct 2022
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing Khoa D. Doan Jianwen Xie Y. Zhu Yang Zhao Ping Li GAN 12 2 0 09 Oct 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 57 59 0 02 Jul 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning Hyunwoo Ryu Jeong-Hoon Lee Honglak Lee Jongeun Choi 37 53 0 16 Jun 2022
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows Phillip Si Zeyi Chen Subham S. Sahoo Yair Schiff Volodymyr Kuleshov 16 6 0 14 Jun 2022
An Energy-Based Prior for Generative Saliency Jing Zhang Jianwen Xie Nick Barnes Ping Li 37 3 0 19 Apr 2022
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 24 9 0 11 Dec 2020
Energy-Based Continuous Inverse Optimal Control Yifei Xu Jianwen Xie Tianyang Zhao Chris L. Baker Yibiao Zhao Ying Nian Wu 20 19 0 10 Apr 2019