Divergence Triangle for Joint Training of Generator Model, Energy-based
Model, and Inference Model

Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model

28 December 2018

Erik Nijkamp

Papers citing "Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model"

8 / 8 papers shown

Title
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 19 3 0 30 Jun 2024
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 26 7 0 24 Nov 2023
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu J. Li Ping Li 16 50 0 13 May 2022
Bounds all around: training energy-based models with bidirectional bounds Cong Geng Jia Wang Zhiyong Gao J. Frellsen Søren Hauberg 22 15 0 01 Nov 2021
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 17 151 0 29 Mar 2019
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry X. Xing Ruiqi Gao Tian Han Song-Chun Zhu Ying Nian Wu DRL 6 28 0 16 Jun 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 227 2,545 0 25 Jan 2016
MCMC using Hamiltonian dynamics Radford M. Neal 176 3,260 0 09 Jun 2012