Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler

29 December 2020

Papers citing "Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler"

20 / 20 papers shown

Title
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 53 2 0 25 Feb 2025
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue Linsey Pang Bo An Haipeng Chen Sanjay Chawla 51 3 0 02 May 2024
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 34 6 0 04 Dec 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 39 12 0 05 Oct 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 31 2 0 01 Jun 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 40 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 30 4 0 16 Apr 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 39 1 0 05 Mar 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Yilun Du Conor Durkan Robin Strudel J. Tenenbaum Sander Dieleman Rob Fergus Jascha Narain Sohl-Dickstein Arnaud Doucet Will Grathwohl DiffM 32 133 0 22 Feb 2023
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 23 2 0 09 Oct 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas Griffiths Sergey Levine OCL 71 58 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 42 54 0 16 Jun 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 29 50 0 13 May 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
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang Jianwen Xie Nick Barnes Ping Li ViT 40 90 0 27 Dec 2021
Bounds all around: training energy-based models with bidirectional bounds Cong Geng Jia Wang Zhiyong Gao J. Frellsen Søren Hauberg 26 15 0 01 Nov 2021
Energy-Based Generative Cooperative Saliency Prediction Jing Zhang Jianwen Xie Zilong Zheng Nick Barnes 36 12 0 25 Jun 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
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 43 9 0 11 Dec 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