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2307.06431
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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
Paula Cordero-Encinar
Tobias Schröder
P. Yatsyshin
Andrew Duncan
45
0
0
15 Oct 2024
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
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
Zhisheng Xiao
Tian Han
55
15
0
19 Sep 2022
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
Jackson Gorham
Lester W. Mackey
86
222
0
06 Mar 2017
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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