We model learning of abstract symbolic concepts by performing Bayesian
i...
Search is an important technique in program synthesis that allows for
ad...
This paper introduces corpus-guided top-down synthesis as a mechanism fo...
We develop an approach for improving the trustworthiness and overall acc...
Toward combining inductive reasoning with perception abilities, we devel...
Providing examples is one of the most common way for end-users to intera...
Many approaches to program synthesis perform a search within an enormous...
We consider the problem of automatically constructing computer programs ...
Inductive program synthesis, or inferring programs from examples of desi...
Humans flexibly solve new problems that differ qualitatively from those ...
Program synthesis techniques construct or infer programs from user-provi...
Expert problem-solving is driven by powerful languages for thinking abou...
We present a neural program synthesis approach integrating components wh...
Human perception of 3D shapes goes beyond reconstructing them as a set o...
We introduce a model that learns to convert simple hand drawings into
gr...