Generative Models

Fair Decision Making

Research on fair synthetic data generation and fair representation learning for bias-free decision making.

Time Series Generation

Advanced diffusion-based models for generating high-quality, long-sequence time series data.

Representative Synthetic Data for Fair Decision Making

TransFusion: Generating Long, High-Fidelity Time Series using Diffusion Models with Transformers

Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation

FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and eXplainability

Fairness Benchmarking Tool

An open-source fairness benchmarking tool.

Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks

Generative Models for Time-Series and Fair Data Generation

Generating Private and Fair Long-Sequenced Longitudinal Healthcare Records