Symbolic Synthesis of Neural Networks

1 code implementation • 6 Mar 2023 • Eli Whitehouse

I present Graph-based Symbolically Synthesized Neural Networks (G-SSNNs), a class of neural modules that operate on representations modified with synthesized symbolic programs to include a fixed set of local and discrete features.

Programming by Example and Text-to-Code Translation for Conversational Code Generation

no code implementations • 21 Nov 2022 • Eli Whitehouse, William Gerard, Yauhen Klimovich, Marc Franco-Salvador

We propose Modular Programs for Text-guided Hierarchical Synthesis (MPaTHS), a method for integrating Programming by Example and text-to-code systems which offers an accessible natural language interface for synthesizing general programs.

Code Translation Program Synthesis