35 citations · 87 across the 3 of their papers we have counts for
3 papers
cs.AI2020★ 35 cited
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Kevin Ellis, Catherine Wong, Maxwell Nye +6
Expert problem-solving is driven by powerful languages for thinking about problems and their solutions. Acquiring expertise means learning these languages -- systems of concepts, a…
cs.PL2019★ 20 cited
Write, Execute, Assess: Program Synthesis with a REPL
Kevin Ellis, Maxwell Nye, Yewen Pu +3
We present a neural program synthesis approach integrating components which write, execute, and assess code to navigate the search space of possible programs. We equip the search p…
cs.AI2019★ 32 cited
Learning to Infer Program Sketches
Maxwell Nye, Luke Hewitt, Joshua Tenenbaum +1
Our goal is to build systems which write code automatically from the kinds of specifications humans can most easily provide, such as examples and natural language instruction. The…