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Your GAN is Secretly an Energy-based Model and You Should use
  Discriminator Driven Latent Sampling
v1v2v3 (latest)

Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling

Neural Information Processing Systems (NeurIPS), 2020
12 March 2020
Tong Che
Ruixiang Zhang
Jascha Narain Sohl-Dickstein
Hugo Larochelle
Liam Paull
Yuan Cao
Yoshua Bengio
    DiffMDRL
ArXiv (abs)PDFHTML

Papers citing "Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling"

50 / 80 papers shown
LSRS: Latent Scale Rejection Sampling for Visual Autoregressive Modeling
LSRS: Latent Scale Rejection Sampling for Visual Autoregressive Modeling
Hong-Kai Zheng
Piji Li
107
0
0
03 Dec 2025
Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection
Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection
Hong-Hanh Nguyen-Le
Van-Tuan Tran
Dinh-Thuc Nguyen
Nhien-An Le-Khac
168
0
0
23 Nov 2025
Exploring bidirectional bounds for minimax-training of Energy-based models
Exploring bidirectional bounds for minimax-training of Energy-based modelsInternational Journal of Computer Vision (IJCV), 2025
Cong Geng
Jia Wang
Li Chen
Zhiyong Gao
J. Frellsen
Søren Hauberg
295
0
0
05 Jun 2025
Discrete Markov Bridge
Discrete Markov Bridge
Hengli Li
Yuxuan Wang
Song-Chun Zhu
Ying Nian Wu
Zilong Zheng
DiffM
259
0
0
26 May 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
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
2
0
22 Apr 2025
Debiasing Kernel-Based Generative Models
Debiasing Kernel-Based Generative Models
Tian Qin
Wei-Min Huang
413
0
0
26 Mar 2025
Improving Discriminator Guidance in Diffusion Models
Improving Discriminator Guidance in Diffusion Models
Alexandre Verine
Mehdi Inane
Florian Le Bronnec
Benjamin Négrevergne
Y. Chevaleyre
DiffM
381
2
0
20 Mar 2025
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective
Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective
Xiaoming Zhao
Alexander Schwing
FaML
433
1
0
13 Mar 2025
Deep MMD Gradient Flow without adversarial training
Deep MMD Gradient Flow without adversarial training
Alexandre Galashov
Valentin De Bortoli
Arthur Gretton
DiffM
301
12
0
10 May 2024
Adversarial Botometer: Adversarial Analysis for Social Bot Detection
Adversarial Botometer: Adversarial Analysis for Social Bot DetectionSocial Network Analysis and Mining (SNAM), 2024
S. Najari
Davood Rafiee
Mostafa Salehi
R. Farahbakhsh
AAMLDeLMO
325
1
0
03 May 2024
Energy-based Domain-Adaptive Segmentation with Depth Guidance
Energy-based Domain-Adaptive Segmentation with Depth GuidanceIEEE Robotics and Automation Letters (RA-L), 2024
Jinjin Zhu
Zhedong Hu
Tae-Kyun Kim
Lin Wang
MDE
302
2
0
06 Feb 2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative
  Models Are Entangled
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled
Shengchao Liu
Chengpeng Wang
Jiarui Lu
Weili Nie
Hanchen Wang
Zhuoxinran Li
Bolei Zhou
Jian Tang
317
3
0
29 Jan 2024
Bring Metric Functions into Diffusion Models
Bring Metric Functions into Diffusion Models
Jie An
Zhengyuan Yang
Jianfeng Wang
Linjie Li
Zicheng Liu
Lijuan Wang
Jiebo Luo
DiffM
220
15
0
04 Jan 2024
Optimal Budgeted Rejection Sampling for Generative Models
Optimal Budgeted Rejection Sampling for Generative ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alexandre Verine
Muni Sreenivas Pydi
Benjamin Négrevergne
Y. Chevaleyre
469
5
0
01 Nov 2023
Discriminator Guidance for Autoregressive Diffusion Models
Discriminator Guidance for Autoregressive Diffusion ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Filip Ekstrom Kelvinius
Fredrik Lindsten
DiffM
270
7
0
24 Oct 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery
  Likelihood
Learning Energy-Based Models by Cooperative Diffusion Recovery LikelihoodInternational Conference on Learning Representations (ICLR), 2023
Y. Zhu
Jianwen Xie
Yingnian Wu
Ruiqi Gao
DiffM
777
18
0
10 Sep 2023
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance
Don't be so negative! Score-based Generative Modeling with Oracle-assisted GuidanceInternational Conference on Machine Learning (ICML), 2023
Saeid Naderiparizi
Xiaoxuan Liang
Setareh Cohan
Berend Zwartsenberg
Frank Wood
DiffM
303
7
0
31 Jul 2023
Adversarial Likelihood Estimation With One-Way Flows
Adversarial Likelihood Estimation With One-Way FlowsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Omri Ben-Dov
Pravir Singh Gupta
Victoria Fernandez-Abrevaya
Michael J. Black
Partha Ghosh
GANDRL
415
1
0
19 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
Complexity Matters: Rethinking the Latent Space for Generative ModelingNeural Information Processing Systems (NeurIPS), 2023
Tianyang Hu
Fei Chen
Hong Wang
Jiawei Li
Wei Cao
Jiacheng Sun
Hao Sun
DiffM
368
20
0
17 Jul 2023
Self-Consuming Generative Models Go MAD
Self-Consuming Generative Models Go MADInternational Conference on Learning Representations (ICLR), 2023
Sina Alemohammad
Josue Casco-Rodriguez
Lorenzo Luzi
Ahmed Imtiaz Humayun
Hossein Babaei
Daniel LeJeune
Ali Siahkoohi
Richard G. Baraniuk
WIGM
414
273
0
04 Jul 2023
Morse Neural Networks for Uncertainty Quantification
Morse Neural Networks for Uncertainty Quantification
Benoit Dherin
Huiyi Hu
Jie Jessie Ren
Michael W. Dusenberry
Balaji Lakshminarayanan
UQCVAI4CE
213
5
0
02 Jul 2023
On Feature Diversity in Energy-based Models
On Feature Diversity in Energy-based Models
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
225
7
0
02 Jun 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
Unifying GANs and Score-Based Diffusion as Generative Particle ModelsNeural Information Processing Systems (NeurIPS), 2023
Jean-Yves Franceschi
Mike Gartrell
Ludovic Dos Santos
Thibaut Issenhuth
Emmanuel de Bezenac
Mickaël Chen
A. Rakotomamonjy
DiffM
419
28
0
25 May 2023
ELSA -- Enhanced latent spaces for improved collider simulations
ELSA -- Enhanced latent spaces for improved collider simulations
Benjamin Nachman
R. Winterhalder
329
16
0
12 May 2023
Efficient Multimodal Sampling via Tempered Distribution Flow
Efficient Multimodal Sampling via Tempered Distribution FlowJournal of the American Statistical Association (JASA), 2023
Yixuan Qiu
Tianlin Li
OT
311
6
0
08 Apr 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative
  Learning
CoopInit: Initializing Generative Adversarial Networks via Cooperative LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Yang Zhao
Jianwen Xie
Ping Li
GAN
340
3
0
21 Mar 2023
Stabilized training of joint energy-based models and their practical
  applications
Stabilized training of joint energy-based models and their practical applications
Martin Sustek
Samik Sadhu
L. Burget
H. Hermansky
Jesus Villalba
Laureano Moro-Velazquez
Najim Dehak
AAMLVLM
172
1
0
07 Mar 2023
On Sampling with Approximate Transport Maps
On Sampling with Approximate Transport MapsInternational Conference on Machine Learning (ICML), 2023
Louis Grenioux
Alain Durmus
Eric Moulines
Marylou Gabrié
OT
428
25
0
09 Feb 2023
Refining Generative Process with Discriminator Guidance in Score-based
  Diffusion Models
Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022
Dongjun Kim
Yeongmin Kim
Se Jung Kwon
Wanmo Kang
Il-Chul Moon
DiffM
619
106
0
28 Nov 2022
Consistent Training via Energy-Based GFlowNets for Modeling Discrete
  Joint Distributions
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
C. Ekbote
Moksh Jain
Payel Das
Yoshua Bengio
329
4
0
01 Nov 2022
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
Learning Probabilistic Models from Generator Latent Spaces with Hat EBMNeural Information Processing Systems (NeurIPS), 2022
Mitch Hill
Erik Nijkamp
Jonathan Mitchell
Bo Pang
Song-Chun Zhu
851
14
0
29 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based
  Models
Robust and Controllable Object-Centric Learning through Energy-based ModelsInternational Conference on Learning Representations (ICLR), 2022
Ruixiang Zhang
Tong Che
Boris Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
349
10
0
11 Oct 2022
Unifying Generative Models with GFlowNets and Beyond
Unifying Generative Models with GFlowNets and Beyond
Dinghuai Zhang
Ricky T. Q. Chen
Nikolay Malkin
Yoshua Bengio
BDLAI4CE
363
26
0
06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and ApplicationsACM Computing Surveys (ACM CSUR), 2022
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffMMedIm
1.9K
2,132
0
02 Sep 2022
Your Autoregressive Generative Model Can be Better If You Treat It as an
  Energy-Based One
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One
Yezhen Wang
Tong Che
Yue Liu
Kaitao Song
Hengzhi Pei
Yoshua Bengio
Dongsheng Li
258
5
0
26 Jun 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation
Neural Implicit Manifold Learning for Topology-Aware Density Estimation
Brendan Leigh Ross
Gabriel Loaiza-Ganem
M. Volkovs
Jesse C. Cresswell
AI4CE
307
6
0
22 Jun 2022
Mining Multi-Label Samples from Single Positive Labels
Mining Multi-Label Samples from Single Positive LabelsNeural Information Processing Systems (NeurIPS), 2022
Youngin Cho
Daejin Kim
Mohammad Azam Khan
Jaegul Choo
GAN
297
9
0
12 Jun 2022
Out-of-Distribution Detection with Class Ratio Estimation
Out-of-Distribution Detection with Class Ratio Estimation
Mingtian Zhang
Andi Zhang
Tim Z. Xiao
Yitong Sun
Jingyu Sun
OODD
234
7
0
08 Jun 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density
  Modeling
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling
Mitch Hill
Jonathan Mitchell
Chu Chen
Yuan Du
M. Shah
Song-Chun Zhu
231
0
0
24 May 2022
Why GANs are overkill for NLP
Why GANs are overkill for NLP
David Alvarez-Melis
Vikas Garg
Adam Tauman Kalai
218
2
0
19 May 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable
  Models
Bi-level Doubly Variational Learning for Energy-based Latent Variable ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Ge Kan
Jinhu Lu
Tian Wang
Baochang Zhang
Aichun Zhu
Lei Huang
Guodong Guo
H. Snoussi
267
8
0
24 Mar 2022
GATSBI: Generative Adversarial Training for Simulation-Based Inference
GATSBI: Generative Adversarial Training for Simulation-Based InferenceInternational Conference on Learning Representations (ICLR), 2022
Poornima Ramesh
Jan-Matthis Lueckmann
Jan Boelts
Álvaro Tejero-Cantero
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
GAN
326
44
0
12 Mar 2022
Polarity Sampling: Quality and Diversity Control of Pre-Trained
  Generative Networks via Singular Values
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular ValuesComputer Vision and Pattern Recognition (CVPR), 2022
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
396
32
0
03 Mar 2022
Learning Representation from Neural Fisher Kernel with Low-rank
  Approximation
Learning Representation from Neural Fisher Kernel with Low-rank ApproximationInternational Conference on Learning Representations (ICLR), 2022
Ruixiang Zhang
Shuangfei Zhai
Etai Littwin
J. Susskind
SSL
211
5
0
04 Feb 2022
Energy-Based Models for Functional Data using Path Measure Tilting
Energy-Based Models for Functional Data using Path Measure TiltingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Jen Ning Lim
Sebastian J. Vollmer
Lorenz Wolf
Andrew Duncan
243
5
0
04 Feb 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from
  Low-Dimensional Latents
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Kushagra Pandey
Avideep Mukherjee
Piyush Rai
Abhishek Kumar
DiffM
648
150
0
02 Jan 2022
A Generic Approach for Enhancing GANs by Regularized Latent Optimization
A Generic Approach for Enhancing GANs by Regularized Latent Optimization
Jiuxiang Gu
Chunyuan Li
Changyou Chen
Jinhui Xu
218
0
0
07 Dec 2021
Local-Global MCMC kernels: the best of both worlds
Local-Global MCMC kernels: the best of both worldsNeural Information Processing Systems (NeurIPS), 2021
S. Samsonov
E. Lagutin
Marylou Gabrié
Alain Durmus
A. Naumov
Eric Moulines
343
21
0
04 Nov 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Rebooting ACGAN: Auxiliary Classifier GANs with Stable TrainingNeural Information Processing Systems (NeurIPS), 2021
Minguk Kang
Woohyeon Shim
Minsu Cho
Jaesik Park
GAN
394
139
0
01 Nov 2021
Bounds all around: training energy-based models with bidirectional
  bounds
Bounds all around: training energy-based models with bidirectional boundsNeural Information Processing Systems (NeurIPS), 2021
Cong Geng
Jia Wang
Zhiyong Gao
J. Frellsen
Søren Hauberg
390
17
0
01 Nov 2021
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