PixColor: Pixel Recursive Colorization. - Sergio Guadarrama; Ryan Dahl; David Bieber; Jonathon Shlens; Mohammad Norouzi 002; Kevin Murphy 002 (BMVC, 2017)

Neural Program Repair by Jointly Learning to Localize and Repair. - Marko Vasic; Aditya Kanade 001; Petros Maniatis; David Bieber; Rishabh Singh (ICLR (Poster), 2019)

Neural Networks for Modeling Source Code Edits. - Rui Zhao; David Bieber; Kevin Swersky; Daniel Tarlow (CoRR, 2019)

Global Relational Models of Source Code. - Vincent J. Hellendoorn; Charles Sutton; Rishabh Singh; Petros Maniatis; David Bieber (ICLR, 2020)

Incremental Sampling Without Replacement for Sequence Models. - Kensen Shi; David Bieber; Charles Sutton (ICML, 2020)

Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks. - David Bieber; Charles Sutton; Hugo Larochelle; Daniel Tarlow (NeurIPS, 2020)

BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration. - Augustus Odena; Kensen Shi; David Bieber; Rishabh Singh; Charles Sutton (CoRR, 2020)

BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration. - Augustus Odena; Kensen Shi; David Bieber; Rishabh Singh; Charles Sutton; Hanjun Dai (ICLR, 2021)

Learning Semantic Representations to Verify Hardware Designs. - Shobha Vasudevan; Wenjie Jiang 001; David Bieber; Rishabh Singh; Hamid Shojaei; Richard Ho 001; Charles Sutton (NeurIPS, 2021)

Show Your Work: Scratchpads for Intermediate Computation with Language Models. - Maxwell I. Nye; Anders Johan Andreassen; Guy Gur-Ari; Henryk Michalewski; Jacob Austin; David Bieber; David Dohan; Aitor Lewkowycz; Maarten Bosma; David Luan; Charles Sutton; Augustus Odena (CoRR, 2021)

Language Model Cascades. - David Dohan; Winnie Xu; Aitor Lewkowycz; Jacob Austin; David Bieber; Raphael Gontijo Lopes; Yuhuai Wu; Henryk Michalewski; Rif A. Saurous; Jascha Sohl-Dickstein; Kevin Murphy 002; Charles Sutton (CoRR, 2022)

A Library for Representing Python Programs as Graphs for Machine Learning. - David Bieber; Kensen Shi; Petros Maniatis; Charles Sutton; Vincent J. Hellendoorn; Daniel D. Johnson 001; Daniel Tarlow (CoRR, 2022)

TF-Coder: Program Synthesis for Tensor Manipulations. - Kensen Shi; David Bieber; Rishabh Singh (ACM Trans. Program. Lang. Syst., 2022)

Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions. - David Bieber; Rishab Goel; Daniel Zheng; Hugo Larochelle; Daniel Tarlow (ICLR, 2023)

Can Large Language Models Reason about Program Invariants? - Kexin Pei; David Bieber; Kensen Shi; Charles Sutton; Pengcheng Yin (ICML, 2023)