Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation Oct 2, 2024· Md Fahim Sikder , Daniel De Leng , Fredrik Heintz · 0 min read PDF Project Cite Type Manuscript Publication Work in Progress Last updated on Oct 2, 2024 Synthetic Data Generation ML for Healthcare Data Fairness Generative Models ← TransFusion: Generating Long, High-Fidelity Time Series using Diffusion Models with Transformers Apr 1, 2025 FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and eXplainability May 31, 2024 →