Publications

Papers and other publications on which I participated.

Papers

1. Smith, Micah J., Carles Sala, James Max Kanter, and Kalyan Veeramachaneni. 2019. “The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development.” CoRR abs/1905.08942. http://arxiv.org/abs/1905.08942. Details

Collaborations

1. Zhang, Kevin Alex, Alfredo Cuesta-Infante, Lei Xu, and Kalyan Veeramachaneni. 2019. “SteganoGAN: High Capacity Image Steganography with GANs.” CoRR abs/1901.03892. http://arxiv.org/abs/1901.03892. Details
2. Xu, Lei, Maria Skoularidou, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni. 2019. “Modeling Tabular Data Using Conditional GAN.” CoRR abs/1907.00503. http://arxiv.org/abs/1907.00503. Details
3. Patki, N., R. Wedge, and K. Veeramachaneni. 2016. “The Synthetic Data Vault.” In 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 399–410. https://doi.org/10.1109/DSAA.2016.49. Details

Other

1. Xue, William. 2018. “A Flexible Framework for Composing End to End Machine Learning Pipelines.” Master's thesis, Cambridge, Massachusetts: Massachusetts Institute of Technology. Details
2. Gustafson, Laura. 2018. “Bayesian Tuning and Bandits: An Extensible, Open Source Library for AutoML.” Master's thesis, Cambridge, Massachusetts: Massachusetts Institute of Technology. Details
3. Montanez, Andrew. 2018. “SDV: An Open Source Library for Synthetic Data Generation.” Master's thesis, Cambridge, Massachusetts: Massachusetts Institute of Technology. Details