Flow Contrastive Estimation of Energy-Based Models

2 December 2019

Ruiqi Gao

Erik Nijkamp

Papers citing "Flow Contrastive Estimation of Energy-Based Models"

36 / 36 papers shown

Title
Density Ratio Estimation with Conditional Probability Paths Hanlin Yu Arto Klami Aapo Hyvarinen Anna Korba Omar Chehab 67 0 0 04 Feb 2025
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 55 0 0 22 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 37 3 0 30 Jun 2024
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 39 12 0 05 Oct 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 36 0 0 03 Apr 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 32 14 0 06 Mar 2023
Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding Takeru Oba Norimichi Ukita 23 3 0 10 Feb 2023
Geometry of Score Based Generative Models S. Ghimire Jinyang Liu Armand Comas Massague Davin Hill A. Masoomi Mario Sznaier Jennifer Dy DiffM 38 8 0 09 Feb 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 24 7 0 23 Jan 2023
Pitfalls of Gaussians as a noise distribution in NCE Holden Lee Chirag Pabbaraju A. Sevekari Andrej Risteski 22 4 0 01 Oct 2022
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model Zhisheng Xiao Tian Han 66 15 0 19 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 226 1,314 0 02 Sep 2022
Contrastive Learning of Coarse-Grained Force Fields Xinqiang Ding Bin W. Zhang 45 21 0 22 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Juntao Li Ping Li 24 50 0 13 May 2022
Statistical applications of contrastive learning Michael U. Gutmann Steven Kleinegesse Benjamin Rhodes 26 7 0 29 Apr 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models Ge Kan Jinhu Lu Tian Wang Baochang Zhang Aichun Zhu Lei Huang Guodong Guo H. Snoussi 35 6 0 24 Mar 2022
The Optimal Noise in Noise-Contrastive Learning Is Not What You Think O. Chehab Alexandre Gramfort Aapo Hyvarinen OOD 21 10 0 02 Mar 2022
Energy-Based Contrastive Learning of Visual Representations Beomsu Kim Jong Chul Ye 23 16 0 10 Feb 2022
Learning to Compose Visual Relations Nan Liu Shuang Li Yilun Du J. Tenenbaum Antonio Torralba CoGe OCL 32 77 0 17 Nov 2021
Unsupervised Learning of Compositional Energy Concepts Yilun Du Shuang Li Yash Sharma J. Tenenbaum Igor Mordatch CoGe OCL 30 76 0 04 Nov 2021
Inferential Wasserstein Generative Adversarial Networks Yao Chen Qingyi Gao Xiao Wang GAN 108 20 0 13 Sep 2021
Deep Generative Modeling for Protein Design Alexey Strokach Philip M. Kim AI4CE 179 90 0 31 Aug 2021
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects Yao Zhang Jeroen Berrevoets M. Schaar CML 36 6 0 06 Aug 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 35 12 0 29 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 483 0 08 Mar 2021
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss Zhisheng Xiao Qing Yan Y. Amit 32 2 0 23 Feb 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 24 242 0 09 Jan 2021
Accurate 3D Object Detection using Energy-Based Models Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon 3DPC 38 10 0 08 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 41 139 0 02 Dec 2020
Unpaired Image-to-Image Translation via Latent Energy Transport Yang Zhao Changyou Chen 19 27 0 01 Dec 2020
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging He Sun Katherine Bouman UQCV 25 74 0 27 Oct 2020
Imitation with Neural Density Models Kuno Kim Akshat Jindal Yang Song Jiaming Song Yanan Sui Stefano Ermon 39 11 0 19 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 17,084 0 19 Jun 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification Jianwen Xie Yifei Xu Zilong Zheng Song-Chun Zhu Ying Nian Wu 3DPC 27 80 0 02 Apr 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016