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Learning Discrete Energy-based Models via Auxiliary-variable Local
  Exploration

Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration

10 November 2020
H. Dai
Rishabh Singh
Bo Dai
Charles Sutton
Dale Schuurmans
ArXivPDFHTML

Papers citing "Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration"

7 / 7 papers shown
Title
End-to-End Stochastic Optimization with Energy-Based Model
End-to-End Stochastic Optimization with Energy-Based Model
Lingkai Kong
Jiaming Cui
Yuchen Zhuang
Rui Feng
B. Prakash
Chao Zhang
21
16
0
25 Nov 2022
A Variational Perspective on Generative Flow Networks
A Variational Perspective on Generative Flow Networks
Heiko Zimmermann
Fredrik Lindsten
Jan-Willem van de Meent
C. A. Naesseth
22
32
0
14 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
BDL
AI4CE
54
25
0
06 Sep 2022
Discrete Langevin Sampler via Wasserstein Gradient Flow
Discrete Langevin Sampler via Wasserstein Gradient Flow
Haoran Sun
H. Dai
Bo Dai
Haomin Zhou
Dale Schuurmans
BDL
42
19
0
29 Jun 2022
Flow Network based Generative Models for Non-Iterative Diverse Candidate
  Generation
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio
Moksh Jain
Maksym Korablyov
Doina Precup
Yoshua Bengio
24
306
0
08 Jun 2021
Training Deep Energy-Based Models with f-Divergence Minimization
Training Deep Energy-Based Models with f-Divergence Minimization
Lantao Yu
Yang Song
Jiaming Song
Stefano Ermon
182
42
0
06 Mar 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
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