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A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
18 February 2020
Ziyu Wang
Shuyu Cheng
Yueru Li
Jun Zhu
Bo Zhang
ArXiv (abs)PDFHTML

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

10 / 10 papers shown
Variance reduction of diffusion model's gradients with Taylor
  approximation-based control variate
Variance reduction of diffusion model's gradients with Taylor approximation-based control variate
Paul Jeha
Will Grathwohl
Michael Riis Andersen
Carl Henrik Ek
J. Frellsen
DiffM
335
6
0
22 Aug 2024
Target Score Matching
Target Score Matching
Valentin De Bortoli
M. Hutchinson
Peter Wirnsberger
Arnaud Doucet
DiffM
369
37
0
13 Feb 2024
Moment Matching Denoising Gibbs Sampling
Moment Matching Denoising Gibbs SamplingNeural Information Processing Systems (NeurIPS), 2023
Mingtian Zhang
Alex Hawkins-Hooker
Brooks Paige
David Barber
DiffM
457
5
0
19 May 2023
Geometric constraints improve inference of sparsely observed stochastic
  dynamics
Geometric constraints improve inference of sparsely observed stochastic dynamics
Dimitra Maoutsa
AI4CE
368
3
0
02 Apr 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion
  Models
Stable Target Field for Reduced Variance Score Estimation in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023
Yilun Xu
Shangyuan Tong
Tommi Jaakkola
DiffM
349
41
0
01 Feb 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
253
67
0
08 Nov 2021
How to Train Your Energy-Based Models
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
425
313
0
09 Jan 2021
Score Matched Neural Exponential Families for Likelihood-Free Inference
Score Matched Neural Exponential Families for Likelihood-Free InferenceJournal of machine learning research (JMLR), 2020
Lorenzo Pacchiardi
Ritabrata Dutta
583
29
0
20 Dec 2020
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
318
62
0
07 Jul 2020
Normalizing Flows on Tori and Spheres
Normalizing Flows on Tori and SpheresInternational Conference on Machine Learning (ICML), 2020
Danilo Jimenez Rezende
George Papamakarios
S. Racanière
M. S. Albergo
G. Kanwar
P. Shanahan
Kyle Cranmer
TPM
330
173
0
06 Feb 2020
1
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