Deformable Part Models for Automatically Georeferencing Historical Map Images. - Nicholas R. Howe; Jerod J. Weinman; John Gouwar; Aabid Shamji (SIGSPATIAL/GIS, 2019)

A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages. - Federico Cassano; John Gouwar; Daniel Nguyen; Sydney Nguyen; Luna Phipps-Costin; Donald Pinckney; Ming-Ho Yee; Yangtian Zi; Carolyn Jane Anderson; Molly Q. Feldman; Arjun Guha; Michael Greenberg 002; et al. (CoRR, 2022)

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs. - Federico Cassano; John Gouwar; Francesca Lucchetti; Claire Schlesinger; Carolyn Jane Anderson; Michael Greenberg 002; Abhinav Jangda; Arjun Guha (CoRR, 2023)

Cryptographic hardness under projections for time-bounded Kolmogorov complexity. - Eric Allender; John Gouwar; Shuichi Hirahara; Caleb Robelle (Theor. Comput. Sci., 2023)

MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation. - Federico Cassano; John Gouwar; Daniel Nguyen; Sydney Nguyen; Luna Phipps-Costin; Donald Pinckney; Ming-Ho Yee; Yangtian Zi; Carolyn Jane Anderson; Molly Q. Feldman; Arjun Guha; Michael Greenberg 002; et al. (IEEE Trans. Software Eng., 2023)

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs. - Federico Cassano; John Gouwar; Francesca Lucchetti; Claire Schlesinger; Anders Freeman; Carolyn Jane Anderson; Molly Q. Feldman; Michael Greenberg 002; Abhinav Jangda; Arjun Guha (Proc. ACM Program. Lang., 2024)

Scaling Optimization over Uncertainty via Compilation. - Minsung Cho; John Gouwar; Steven Holtzen (Proc. ACM Program. Lang., 2025)