2 papers
stat.ML2026
A Unified Latent Space Disentanglement VAE Framework with Robust Disentanglement Effectiveness Evaluation
Xiaoan Lang, Md Mostafizer Rahman, Fang Liu
Evaluating and interpreting latent representations, such as variational autoencoders (VAEs), remains a significant challenge for diverse data types, especially when ground-truth ge…
cs.LG2025
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI
Spencer Giddens, Xiaon Lang, Fang Liu
As data-driven and AI-based decision making gains widespread adoption across disciplines, it is crucial that both data privacy and decision fairness are appropriately addressed. Al…