18 citations · 18 across the 3 of their papers we have counts for
3 papers
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng +1
Data Fairness is a crucial topic due to the recent wide usage of AI powered applications. Most of the real-world data is filled with human or machine biases and when those data are…
Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models
David Bergström, Mattias Tiger, Fredrik Heintz
Many of today's data is time-series data originating from various sources, such as sensors, transaction systems, or production systems. Major challenges with such data include priv…
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
Resmi Ramachandranpillai, Md Fahim Sikder, David Bergström +1
Synthetic data generation offers a promising solution to enhance the usefulness of Electronic Healthcare Records (EHR) by generating realistic de-identified data. However, the exis…