Hasty-A Generative Model Complier

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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Document Details

Document Type
Technical Report
Publication Date
May 01, 2019
Accession Number
AD1072839

Entities

People

  • Frank Wood
  • Michael Teng
  • Rob Zinkov

Organizations

  • University of Oxford

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence Software
  • Bayesian Networks
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Generative Models
  • Information Science
  • Language
  • Machine Learning
  • Models
  • Neural Networks
  • Probabilistic Models
  • Programming Languages
  • Students

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Distributed Systems and Data Platform Development
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks