@techreport{WOO-19,
  title={Hasty-A Generative Model Complier},
  author={Wood, Frank and Teng, Michael and Zinkov, Rob},
  year={2019},
  institution={University of Oxford Oxford United Kingdom},
  url_Link={https://apps.dtic.mil/sti/citations/AD1072839},
  url_Paper={https://apps.dtic.mil/sti/pdfs/AD1072839.pdf},
  support = {D3M},
  abstract = {This work describes our contribution of proof of concept primitives to the D3M program and research progress made towards an initial version of Hasty. Although we were unable to complete the initial version of Hasty, or contribute to the D3M primitive library the types of primitives that Hasty will enable we did train a number of Highly Qualified Personnel HQP and have interacted with the AutoML, probabilistic programming languages, neural networking, and other communities which our work is expected to impact.}
}

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