Research papers
The SDV is based on over 5 years of research & development
Sequential Models in the Synthetic Data Vault
Preprint, June 2022
Kevin Zhang, Kalyan Veeramachaneni, Neha Patki
Modeling Tabular data using Conditional GAN (CTGAN)
NeurIPS|2019, Proc. of Advances in Neural Information Processing Systems, 2019
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Learning Vine Copula Models For Synthetic Data Generation
AAAI-19, In Proc. 33rd AAAI Conference on Artificial Intelligence, 2019
Yi Sun, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Synthesizing Tabular Data using Generative Adversarial Networks (TGAN)
Preprint, 27 November 2018
Lei Xu, Kalyan Veeramachaneni
SDV: An Open Source Library for Synthetic Data Generation
M.Eng Thesis, Dept. of EECS, MIT, August 2018
Andrew Montanez
The synthetic data vault
DSAA -16, International Conference on Data Science and Advance Analytics, October 2016
Neha Patki, Roy Wedge, Kalyan Veeramachaneni
The Synthetic Data Vault: Generative Modeling for Relational Databases.
M.Eng. Thesis, Dept. of EECS, MIT, June 2016
Neha Patki
Let's put synthetic data to work.
