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A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

18 February 2020
Ziyu Wang
Shuyu Cheng
Yueru Li
Jun Zhu
Bo Zhang
ArXivPDFHTML

Papers citing "A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models"

4 / 4 papers shown
Title
Moment Matching Denoising Gibbs Sampling
Moment Matching Denoising Gibbs Sampling
Mingtian Zhang
Alex Hawkins-Hooker
Brooks Paige
David Barber
DiffM
26
3
0
19 May 2023
Estimating High Order Gradients of the Data Distribution by Denoising
Estimating High Order Gradients of the Data Distribution by Denoising
Chenlin Meng
Yang Song
Wenzhe Li
Stefano Ermon
DiffM
8
44
0
08 Nov 2021
How to Train Your Energy-Based Models
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
15
241
0
09 Jan 2021
Efficient Learning of Generative Models via Finite-Difference Score
  Matching
Efficient Learning of Generative Models via Finite-Difference Score Matching
Tianyu Pang
Kun Xu
Chongxuan Li
Yang Song
Stefano Ermon
Jun Zhu
DiffM
28
53
0
07 Jul 2020
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