Charles Sutton
I joined Google in January 2018. My research interests span deep learning, probabilistic machine learning, programming languages, data mining, and software engineering.
I'm especially excited about applying deep learning to huge code bases, finding patterns about what makes for good code, leading to tools to help people write better software.
For older publications (back to 2002), please see my academic web site at the University of Edinburgh.
I maintain a blog with advice for researchers, reflections on academia, the research community, the expatriate lifestyle, and sillier matters.
Research Areas
Authored Publications
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UQE: A Query Engine for Unstructured Databases
Hanjun Dai
Bethany Wang
Sherry Yang
Phitchaya Mangpo Phothilimthana
Advances in Neural Information Processing Systems (NeurIPS) (2024)
Compositional Generalization and Decomposition in Neural Program Synthesis
Joey Hong
Manzil Zaheer
Deep Learning for Code (DL4C) Workshop at ICLR'22 (2022)
Graph Representations of Python Programs via Source-level Static Analysis
Daniel Johnson
David Bieber
Vincent Josua Hellendoorn
Arxiv (2022)
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Hyung Won Chung
Sebastian Gehrmann
Parker Schuh
Sasha Tsvyashchenko
Abhishek Rao
Yi Tay
Noam Shazeer
Nan Du
Reiner Pope
James Bradbury
Guy Gur-Ari
Toju Duke
Henryk Michalewski
Xavier Garcia
Liam Fedus
David Luan
Barret Zoph
Ryan Sepassi
David Dohan
Shivani Agrawal
Mark Omernick
Marie Pellat
Aitor Lewkowycz
Erica Moreira
Rewon Child
Oleksandr Polozov
Zongwei Zhou
Brennan Saeta
Michele Catasta
Jason Wei
Kathy Meier-Hellstern
arxiv:2204.02311 (2022)
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
Hanjun Dai
Kevin Ellis
International Conference on Learning Representations (ICLR) (2022) (to appear)
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Guy Gur-Ari
Henryk Witold Michalewski
David Bieber
David Martin Dohan
Aitor Lewkowycz
Maarten Paul Bosma
David Luan
Augustus Odena
(2021)
Learning Semantic Representations to Verify Hardware Designs
Shobha Vasudevan
David Bieber
Rishabh Singh
Hamid Shojaei
Richard Ho
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) (2021)
Latent Programmer: Discrete Latent Codes for Program Synthesis
Joey Hong
David Martin Dohan
Rishabh Singh
Manzil Zaheer
International Conference on Machine Learning (ICML) (2021)
SpreadsheetCoder: Formula Prediction from Semi-structured Context
Rishabh Singh
Hanjun Dai
Proceedings of the 38th International Conference on Machine Learning (ICML) (2021)
