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Energy Discrepancies: A Score-Independent Loss for Energy-Based Models

Energy Discrepancies: A Score-Independent Loss for Energy-Based Models

12 July 2023
Tobias Schröder
Zijing Ou
Jen Ning Lim
Yingzhen Li
Sebastian J. Vollmer
Andrew B. Duncan
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Papers citing "Energy Discrepancies: A Score-Independent Loss for Energy-Based Models"

8 / 8 papers shown
Title
Learning Energy-Based Models by Self-normalising the Likelihood
Hugo Senetaire
Paul Jeha
Pierre-Alexandre Mattei
J. Frellsen
38
0
0
10 Mar 2025
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Paula Cordero-Encinar
Tobias Schröder
P. Yatsyshin
Andrew Duncan
45
0
0
15 Oct 2024
Training Discrete Energy-Based Models with Energy Discrepancy
Training Discrete Energy-Based Models with Energy Discrepancy
Tobias Schröder
Zijing Ou
Yingzhen Li
Andrew B. Duncan
22
0
0
14 Jul 2023
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized
  Stein Discrepancy
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
Xingtu Liu
Andrew B. Duncan
Axel Gandy
35
7
0
28 Apr 2023
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space
  Energy-based Model
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model
Zhisheng Xiao
Tian Han
55
15
0
19 Sep 2022
Towards Healing the Blindness of Score Matching
Towards Healing the Blindness of Score Matching
Mingtian Zhang
Oscar Key
Peter Hayes
David Barber
Brooks Paige
F. Briol
MedIm
55
14
0
15 Sep 2022
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
107
324
0
09 Feb 2016
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