Matthew Bowers

According to our database, Matthew Bowers authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Top-Down Synthesis for Library Learning.

Matthew Bowers, Theo X. Olausson, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama

Proc. ACM Program. Lang., January, 2023

LILO: Learning Interpretable Libraries by Compressing and Documenting Code.

Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas

CoRR, 2023

Language Models Can Teach Themselves to Program Better.

Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Top-Down Synthesis for Library Learning.

Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama

CoRR, 2022

2021

Representing Partial Programs with Blended Abstract Semantics.

Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama

Proceedings of the 9th International Conference on Learning Representations, 2021