Researcher profile
Alexander L. Gaunt
2 papers in the PaperMetrix corpus
Publications
Papers by this author
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Summary - TerpreT: A Probabilistic Programming Language for Program Induction
2016 · arXiv (Cornell University)
We study machine learning formulations of inductive program synthesis; that is, given input-output examples, synthesize source code that maps inputs to corresponding outputs. Our key contribution is TerpreT, a domain-specific language for expressing program synthesis …
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Differentiable Programs with Neural Libraries
2016 · arXiv (Cornell University)
We develop a framework for combining differentiable programming languages with neural networks. Using this framework we create end-to-end trainable systems that learn to write interpretable algorithms with perceptual components. We explore the benefits of inductive …