Measuring the Fairness, Privacy and Accuracy of Time-Series Generative Models - A SurveyJun 20, 2021·David Bergström,Md Fahim Sikder,Sania Partovian,Resmi Ramachandranpillai,Mattias Tiger,Fredrik Heintz· 0 min read ProjectTypeManuscriptPublicationWork in ProgressLast updated on Mar 4, 2026Representation Learning Data Fairness Fair Representation Learning ← Sequential Ice Hockey Events Generation using Generative Adversarial Network Jun 3, 2022Privacy-Preserving Synthetic Trajectory Data Generation Jun 27, 2020 →