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

Synthesizing Tabular Data using Conditional GAN

S.M Thesis, Dept. of EECS, MIT, February 2020

Lei Xu

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.

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