Search Results for author: Lucas Morales

Found 3 papers, 1 papers with code

DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

3 code implementations15 Jun 2020 Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sable-Meyer, Luc Cary, Lucas Morales, Luke Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum

It builds expertise by creating programming languages for expressing domain concepts, together with neural networks to guide the search for programs within these languages.

Drawing Pictures Program induction +1

Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction

no code implementations NeurIPS 2018 Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Josh Tenenbaum

Successful approaches to program induction require a hand-engineered domain-specific language (DSL), constraining the space of allowed programs and imparting prior knowledge of the domain.

Program induction regression +1

Library Learning for Neurally-Guided Bayesian Program Induction

no code implementations1 Dec 2018 Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Joshua B. Tenenbaum

Successful approaches to program induction require a hand-engineered domain-specific language (DSL), constraining the space of allowed programs and imparting prior knowledge of the domain.

Program induction regression +1

Cannot find the paper you are looking for? You can Submit a new open access paper.