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2012.14936
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Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
AAAI Conference on Artificial Intelligence (AAAI), 2020
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"
44 / 44 papers shown
Learning Energy-based Variational Latent Prior for VAEs
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Jia Wang
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293
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05 Jun 2025
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
361
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22 Apr 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
International Conference on Learning Representations (ICLR), 2025
Yuhan Chen
Yihong Luo
Yifan Song
Pengwen Dai
Jing Tang
Xiaochun Cao
OODD
531
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0
25 Feb 2025
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
366
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0
21 Jul 2024
Learning Latent Space Hierarchical EBM Diffusion Models
Jiali Cui
Tian Han
DiffM
502
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0
22 May 2024
S
2
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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
445
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0
02 May 2024
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
Yihong Luo
Xiaolong Chen
Xinghua Qu
Jing Tang
515
28
0
19 Mar 2024
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng
Tian Han
Peng-Tao Jiang
Hao Zhang
Jinwei Chen
Søren Hauberg
Yue Liu
DiffM
509
5
0
04 Mar 2024
Learning Energy-based Model via Dual-MCMC Teaching
Neural Information Processing Systems (NeurIPS), 2023
Jiali Cui
Tian Han
276
13
0
05 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control
Conference on Robot Learning (CoRL), 2023
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Timo Osterburg
Torsten Bertram
AI4CE
376
9
0
04 Dec 2023
Energy-Calibrated VAE with Test Time Free Lunch
European Conference on Computer Vision (ECCV), 2023
Yihong Luo
Si-Huang Qiu
Xingjian Tao
Yujun Cai
Jing Tang
752
4
0
07 Nov 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models
Belhal Karimi
Jianwen Xie
Ping Li
DiffM
330
0
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19 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Neural Information Processing Systems (NeurIPS), 2023
Peiyu Yu
Y. Zhu
Sirui Xie
Xiaojian Ma
Ruiqi Gao
Song-Chun Zhu
Ying Nian Wu
DiffM
281
17
0
05 Oct 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
International Conference on Learning Representations (ICLR), 2023
Y. Zhu
Jianwen Xie
Yingnian Wu
Ruiqi Gao
DiffM
776
18
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10 Sep 2023
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Torsten Bertram
AI4CE
484
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0
31 Aug 2023
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation
Weinan Song
Y. Zhu
Lei He
Yingnian Wu
Jianwen Xie
337
1
0
26 Jun 2023
Learning Unnormalized Statistical Models via Compositional Optimization
International Conference on Machine Learning (ICML), 2023
Wei Jiang
Jiayu Qin
Lingyu Wu
Changyou Chen
Tianbao Yang
Lijun Zhang
472
8
0
13 Jun 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling
Louis Grenioux
Eric Moulines
Marylou Gabrié
400
6
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01 Jun 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality
Neural Information Processing Systems (NeurIPS), 2023
D. Carbone
Mengjian Hua
Simon Coste
Eric Vanden-Eijnden
407
16
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30 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
International Conference on Machine Learning (ICML), 2023
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Thome
OODD
526
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0
26 May 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Y. Zhu
Jianwen Xie
Ping Li
MedIm
256
4
0
16 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model
IEEE International Conference on Computer Vision (ICCV), 2023
Qiushan Guo
Chuofan Ma
Yi Jiang
Zehuan Yuan
Yizhou Yu
Ping Luo
DiffM
426
16
0
04 Apr 2023
Information-Theoretic GAN Compression with Variational Energy-based Model
Neural Information Processing Systems (NeurIPS), 2023
Minsoo Kang
Hyewon Yoo
Eunhee Kang
Sehwan Ki
Hyong-Euk Lee
Bohyung Han
GAN
291
4
0
28 Mar 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yang Zhao
Jianwen Xie
Ping Li
GAN
335
3
0
21 Mar 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model
W. Zeng
DiffM
215
1
0
05 Mar 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
International Conference on Machine Learning (ICML), 2023
Yilun Du
Conor Durkan
Robin Strudel
J. Tenenbaum
Sander Dieleman
Rob Fergus
Jascha Narain Sohl-Dickstein
Arnaud Doucet
Will Grathwohl
DiffM
553
214
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
347
2
0
09 Oct 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Neural Information Processing Systems (NeurIPS), 2022
Michael Chang
Thomas Griffiths
Sergey Levine
OCL
506
66
0
02 Jul 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
International Conference on Learning Representations (ICLR), 2022
Hyunwoo Ryu
Jeong-Hoon Lee
Honglak Lee
Jongeun Choi
543
72
0
16 Jun 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model
International Conference on Learning Representations (ICLR), 2022
Jianwen Xie
Y. Zhu
Jilong Li
Ping Li
288
53
0
13 May 2022
An Energy-Based Prior for Generative Saliency
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jing Zhang
Jianwen Xie
Nick Barnes
Ping Li
269
3
0
19 Apr 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Computer Vision and Pattern Recognition (CVPR), 2022
Ge Kan
Jinhu Lu
Tian Wang
Baochang Zhang
Aichun Zhu
Lei Huang
Guodong Guo
H. Snoussi
263
8
0
24 Mar 2022
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
Neural Information Processing Systems (NeurIPS), 2021
Jing Zhang
Jianwen Xie
Nick Barnes
Ping Li
ViT
325
111
0
27 Dec 2021
Multimeasurement Generative Models
International Conference on Learning Representations (ICLR), 2021
Saeed Saremi
R. Srivastava
277
9
0
18 Dec 2021
Bounds all around: training energy-based models with bidirectional bounds
Neural Information Processing Systems (NeurIPS), 2021
Cong Geng
Jia Wang
Zhiyong Gao
J. Frellsen
Søren Hauberg
389
17
0
01 Nov 2021
Learning Proposals for Practical Energy-Based Regression
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
L. Kumar
Martin Danelljan
Thomas B. Schon
208
4
0
22 Oct 2021
Conjugate Energy-Based Models
International Conference on Machine Learning (ICML), 2021
Hao Wu
Babak Esmaeili
Michael L. Wick
Jean-Baptiste Tristan
Jan-Willem van de Meent
267
2
0
25 Jun 2021
Energy-Based Generative Cooperative Saliency Prediction
Jing Zhang
Jianwen Xie
Zilong Zheng
Nick Barnes
324
13
0
25 Jun 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jianwen Xie
Zilong Zheng
Xiaolin Fang
Song-Chun Zhu
Ying Nian Wu
236
14
0
07 Mar 2021
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss
Zhisheng Xiao
Qing Yan
Y. Amit
342
3
0
23 Feb 2021
Learning Energy-Based Models With Adversarial Training
European Conference on Computer Vision (ECCV), 2020
Xuwang Yin
Shiying Li
Gustavo K. Rohde
AAML
DiffM
561
13
0
11 Dec 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
Computer Vision and Pattern Recognition (CVPR), 2020
Jianwen Xie
Yifei Xu
Zilong Zheng
Song-Chun Zhu
Ying Nian Wu
3DPC
524
88
0
02 Apr 2020
Energy-Based Continuous Inverse Optimal Control
Yifei Xu
Jianwen Xie
Tianyang Zhao
Chris L. Baker
Yibiao Zhao
Ying Nian Wu
608
21
0
10 Apr 2019
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