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2010.04230
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No MCMC for me: Amortized sampling for fast and stable training of energy-based models
International Conference on Learning Representations (ICLR), 2020
8 October 2020
Will Grathwohl
Jacob Kelly
Milad Hashemi
Mohammad Norouzi
Kevin Swersky
David Duvenaud
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Papers citing
"No MCMC for me: Amortized sampling for fast and stable training of energy-based models"
12 / 62 papers shown
Learning Proposals for Practical Energy-Based Regression
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
L. Kumar
Martin Danelljan
Thomas B. Schon
172
4
0
22 Oct 2021
JEM++: Improved Techniques for Training JEM
Xiulong Yang
Shihao Ji
AAML
VLM
252
33
0
19 Sep 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
IEEE International Conference on Computer Vision (ICCV), 2021
Yezhen Wang
Yue Liu
Tong Che
Kaiyang Zhou
Ziwei Liu
Dongsheng Li
UQCV
287
66
0
27 Jul 2021
On Out-of-distribution Detection with Energy-based Models
Sven Elflein
Bertrand Charpentier
Daniel Zügner
Stephan Günnemann
OODD
166
22
0
03 Jul 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
215
2
0
25 Jun 2021
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels
Jiuxiang Gu
Changyou Chen
Jinhui Xu
208
2
0
10 May 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
724
627
0
08 Mar 2021
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
International Conference on Machine Learning (ICML), 2021
Will Grathwohl
Kevin Swersky
Milad Hashemi
David Duvenaud
Chris J. Maddison
BDL
297
106
0
08 Feb 2021
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
364
304
0
09 Jan 2021
Learning Energy-Based Models With Adversarial Training
European Conference on Computer Vision (ECCV), 2020
Xuwang Yin
Shiying Li
Gustavo K. Rohde
AAML
DiffM
412
11
0
11 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models
International Conference on Machine Learning (ICML), 2020
Yilun Du
Shuang Li
J. Tenenbaum
Igor Mordatch
642
164
0
02 Dec 2020
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
International Conference on Learning Representations (ICLR), 2020
Erik Nijkamp
Ruiqi Gao
Pavel Sountsov
Srinivas Vasudevan
Bo Pang
Song-Chun Zhu
Ying Nian Wu
BDL
199
24
0
12 Jun 2020
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