Improved Contrastive Divergence Training of Energy Based Models

2 December 2020

Shuang Li

Papers citing "Improved Contrastive Divergence Training of Energy Based Models"

50 / 104 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
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Michal Balcerak Tamaz Amiranashvili Suprosanna Shit Antonio Terpin Sebastian Kaltenbach P. Koumoutsakos Bjoern H. Menze DiffM 22 1 0 14 Apr 2025
Disentangling Uncertainties by Learning Compressed Data Representation Zhiyu An Zhibo Hou Wan Du UQCV UD 71 0 0 20 Mar 2025
Learning Energy-Based Models by Self-normalising the Likelihood Hugo Senetaire Paul Jeha Pierre-Alexandre Mattei J. Frellsen 38 0 0 10 Mar 2025
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper] Andreas Habring Alexander Falk T. Pock 57 0 0 03 Feb 2025
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors Jeongsoo Park Andrew Owens 34 3 0 06 Nov 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design Xiangxin Zhou Jiaqi Guan Y. Zhang Xingang Peng Liang Wang Jianzhu Ma 26 2 0 28 Oct 2024
MITA: Bridging the Gap between Model and Data for Test-time Adaptation Yige Yuan Bingbing Xu Teng Xiao Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA 41 0 0 12 Oct 2024
Learning Multimodal Latent Generative Models with Energy-Based Prior Shiyu Yuan Jiali Cui Hanao Li Tian Han 29 0 0 30 Sep 2024
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC Y. Zhu Zehao Dou Haoxin Zheng Yasi Zhang Ying Nian Wu Ruiqi Gao DiffM 27 5 0 13 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
In-Context Learning of Energy Functions Rylan Schaeffer Mikail Khona Sanmi Koyejo 41 0 0 18 Jun 2024
Learning Iterative Reasoning through Energy Diffusion Yilun Du Jiayuan Mao Joshua B. Tenenbaum LRM PINN 48 6 0 17 Jun 2024
dGrasp: NeRF-Informed Implicit Grasp Policies with Supervised Optimization Slopes Gergely Sóti Xi Huang C. Wurll Gergely Sóti 34 0 0 14 Jun 2024
Cognitively Inspired Energy-Based World Models Alexi Gladstone Ganesh Nanduru Md. Mofijul Islam Aman Chadha Jundong Li Tariq Iqbal 33 0 0 13 Jun 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 46 3 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
Learning Latent Space Hierarchical EBM Diffusion Models Jiali Cui Tian Han DiffM 38 1 0 22 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 48 1 0 20 May 2024
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model Masahito Toba Seiichi Uchida Hideaki Hayashi 26 0 0 15 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
On the connection between Noise-Contrastive Estimation and Contrastive Divergence Amanda Olmin Jakob Lindqvist Lennart Svensson Fredrik Lindsten 27 0 0 26 Feb 2024
Bridging Associative Memory and Probabilistic Modeling Rylan Schaeffer Nika Zahedi Mikail Khona Dhruv Pai Sang T. Truong ... Sarthak Chandra Andres Carranza Ila Rani Fiete Andrey Gromov Oluwasanmi Koyejo DiffM 43 4 0 15 Feb 2024
Compositional Generative Modeling: A Single Model is Not All You Need Yilun Du L. Kaelbling PINN GAN 51 20 0 02 Feb 2024
Contractive Diffusion Probabilistic Models Wenpin Tang Hanyang Zhao DiffM 44 12 0 23 Jan 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 35 2 0 12 Dec 2023
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 27 0 0 06 Dec 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi Hankook Lee Honglak Lee Moontae Lee DiffM 28 7 0 05 Dec 2023
Learning Energy-based Model via Dual-MCMC Teaching Jiali Cui Tian Han 19 10 0 05 Dec 2023
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 31 8 0 24 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 30 0 0 19 Oct 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior Jiali Cui Ying Nian Wu Tian Han BDL 28 6 0 14 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 18 11 0 05 Oct 2023
Delta-AI: Local objectives for amortized inference in sparse graphical models J. Falet Hae Beom Lee Nikolay Malkin Chen Sun Dragos Secrieru Thomas Jiralerspong Dinghuai Zhang Guillaume Lajoie Yoshua Bengio 51 6 0 03 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 37 2 0 02 Oct 2023
A Bayesian Approach to Robust Inverse Reinforcement Learning Ran Wei Siliang Zeng Chenliang Li Alfredo García Anthony D. McDonald Mingyi Hong OffRL 23 4 0 15 Sep 2023
Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models Sumeet Singh Stephen Tu Vikas Sindhwani DiffM 15 8 0 11 Sep 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
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 24 4 0 12 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Z. Li Zhihua Zhang DiffM 19 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 19 1 0 26 Jun 2023
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models Geon Yeong Park Jeongsol Kim Beomsu Kim Sang Wan Lee Jong Chul Ye DiffM 19 21 0 16 Jun 2023
Differentiating Metropolis-Hastings to Optimize Intractable Densities Gaurav Arya Ruben Seyer Frank Schafer Kartik Chandra Alexander K. Lew Mathieu Huot Vikash K. Mansinghka Jonathan Ragan-Kelley Chris Rackauckas Moritz Schauer TPM 19 4 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
On Feature Diversity in Energy-based Models Firas Laakom Jenni Raitoharju Alexandros Iosifidis M. Gabbouj 24 7 0 02 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
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 25 2 0 24 May 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 26 3 0 19 May 2023