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Exponential Tilting of Generative Models: Improving Sample Quality by
  Training and Sampling from Latent Energy

Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy

15 June 2020
Zhisheng Xiao
Qing Yan
Y. Amit
    DRL
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Papers citing "Exponential Tilting of Generative Models: Improving Sample Quality by Training and Sampling from Latent Energy"

3 / 3 papers shown
Title
Balanced Training of Energy-Based Models with Adaptive Flow Sampling
Balanced Training of Energy-Based Models with Adaptive Flow Sampling
Louis Grenioux
Eric Moulines
Marylou Gabrié
31
2
0
01 Jun 2023
Bi-level Doubly Variational Learning for Energy-based Latent Variable
  Models
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Ge Kan
Jinhu Lu
Tian Wang
Baochang Zhang
Aichun Zhu
Lei Huang
Guodong Guo
H. Snoussi
35
6
0
24 Mar 2022
EBMs Trained with Maximum Likelihood are Generator Models Trained with a
  Self-adverserial Loss
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss
Zhisheng Xiao
Qing Yan
Y. Amit
32
2
0
23 Feb 2021
1