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2012.14936
Cited By
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
29 December 2020
Jianwen Xie
Zilong Zheng
Ping Li
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Papers citing
"Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler"
12 / 12 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
46
1
0
25 Feb 2025
S
2
^2
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
Energy-based Potential Games for Joint Motion Forecasting and Control
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Timo Osterburg
Torsten Bertram
AI4CE
29
6
0
04 Dec 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling
Louis Grenioux
Eric Moulines
Marylou Gabrié
13
2
0
01 Jun 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
25
4
0
16 Apr 2023
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang
Thomas L. Griffiths
Sergey Levine
OCL
57
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
37
53
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
J. Li
Ping Li
24
50
0
13 May 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
24
15
0
01 Nov 2021
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss
Zhisheng Xiao
Qing Yan
Y. Amit
29
2
0
23 Feb 2021
Learning Energy-Based Models With Adversarial Training
Xuwang Yin
Shiying Li
Gustavo K. Rohde
AAML
DiffM
33
9
0
11 Dec 2020
1