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PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation

6 February 2024
Pablo Lemos
Sammy N. Sharief
Nikolay Malkin
Laurence Perreault Levasseur
Y. Hezaveh
Laurence Perreault-Levasseur
Yashar Hezaveh
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Papers citing "PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation"

2 / 2 papers shown
Title
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics
Sebastian Springer
Andre Scaffidi
Maximilian Autenrieth
Gabriella Contardo
Alessandro Laio
R. Trotta
H. Haario
30
0
0
31 Mar 2025
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
38
186
0
17 Feb 2021
1