v1v2v3 (latest)

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

1 October 2020

ArXiv (abs)PDF HTML Github (56★)

Papers citing "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models"

50 / 72 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 181 0 0 24 Apr 2025
CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning William Doherty Anton Lee Heitor Murilo Gomes CLL 110 0 0 19 Jan 2025
Generative Modelling with High-Order Langevin Dynamics Ziqiang Shi Rujie Liu DiffM 97 2 0 03 Jan 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 283 30,149 0 01 Mar 2022
Hybrid Discriminative-Generative Training via Contrastive Learning Hao Liu Pieter Abbeel SSL 72 40 0 17 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 77 915 0 08 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 669 18,276 0 19 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 258 1,161 0 16 Jun 2020
Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy Zhisheng Xiao Qing Yan Y. Amit DRL 43 8 0 15 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 161 1,887 0 11 Jun 2020
The Expressive Power of a Class of Normalizing Flow Models Zhifeng Kong Kamalika Chaudhuri TPM 73 53 0 31 May 2020
Jukebox: A Generative Model for Music Prafulla Dhariwal Heewoo Jun Christine Payne Jong Wook Kim Alec Radford Ilya Sutskever VLM 128 752 0 30 Apr 2020
Adversarial Latent Autoencoders Stanislav Pidhorskyi Donald Adjeroh Gianfranco Doretto GAN DRL 91 261 0 09 Apr 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator Yuxuan Song Qiwei Ye Minkai Xu Tie-Yan Liu 55 8 0 05 Apr 2020
Equivariant flow-based sampling for lattice gauge theory G. Kanwar M. S. Albergo D. Boyda Kyle Cranmer D. Hackett S. Racanière Danilo Jimenez Rezende P. Shanahan AI4CE 53 176 0 13 Mar 2020
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling Tong Che Ruixiang Zhang Jascha Narain Sohl-Dickstein Hugo Larochelle Liam Paull Yuan Cao Yoshua Bengio DiffM DRL 65 114 0 12 Mar 2020
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 100 81 0 10 Mar 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 222 43 0 06 Mar 2020
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 87 115 0 30 Dec 2019
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 85 546 0 06 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 306 5,823 0 03 Dec 2019
WaveFlow: A Compact Flow-based Model for Raw Audio Ming-Yu Liu Kainan Peng Kexin Zhao Z. Song 75 117 0 03 Dec 2019
Flow Contrastive Estimation of Energy-Based Models Ruiqi Gao Erik Nijkamp Diederik P. Kingma Zhen Xu Andrew M. Dai Ying Nian Wu GAN 72 115 0 02 Dec 2019
Quality Aware Generative Adversarial Networks Parimala Kancharla Sumohana S. Channappayya GAN 50 27 0 08 Nov 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 51 62 0 09 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,954 0 12 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 99 670 0 28 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 147 1,823 0 02 Jun 2019
Generative Latent Flow Zhisheng Xiao Qing Yan Y. Amit DRL 38 15 0 24 May 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 89 213 0 22 Apr 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 150 631 0 02 Apr 2019
COCO-GAN: Generation by Parts via Conditional Coordinating Chieh Hubert Lin Chia-Che Chang Yu-Sheng Chen Da-Cheng Juan Wei Wei Hwann-Tzong Chen 66 135 0 30 Mar 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 81 272 0 29 Mar 2019
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 65 156 0 29 Mar 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 63 381 0 14 Mar 2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport Matthew Hoffman Pavel Sountsov Joshua V. Dillon I. Langmore Dustin Tran Srinivas Vasudevan BDL 66 107 0 09 Mar 2019
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model Tian Han Erik Nijkamp Xiaolin Fang Mitch Hill Song-Chun Zhu Ying Nian Wu 67 68 0 28 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 599 10,590 0 12 Dec 2018
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 66 759 0 22 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 269 5,401 0 28 Sep 2018
Neural Importance Sampling Thomas Müller Brian McWilliams Fabrice Rousselle Markus Gross Jan Novák 70 364 0 11 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 300 3,138 0 09 Jul 2018
Learning Implicit Generative Models with the Method of Learned Moments Suman V. Ravuri S. Mohamed Mihaela Rosca Oriol Vinyals GAN 68 28 0 28 Jun 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 105 87 0 14 Jun 2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors Arash Vahdat Evgeny Andriyash W. Macready 50 49 0 18 May 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 159 4,442 0 16 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 68 76 0 14 Feb 2018
A Note on the Inception Score Shane T. Barratt Rishi Sharma EGVM 99 694 0 06 Jan 2018
PacGAN: The power of two samples in generative adversarial networks Zinan Lin A. Khetan Giulia Fanti Sewoong Oh GAN 84 334 0 12 Dec 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 164 7,371 0 27 Oct 2017