Danny Tarlow
I'm a Research Scientist at Google Research, Brain Team in Montreal. I'm primarily interested in machine learning methods for understanding and generating programs. However, I have fairly broad interests across Machine Learning.
On the academic side, I'm also an Adjunct Professor in the School of Computer Science at McGill University and an associate member at MILA. I co-supervise a couple PhD students at MILA and generally spend Friday mornings there. If you're a MILA student and would like to chat on a Friday, send me mail or find me on slack. I hold a Ph.D. from the Machine Learning group at University of Toronto (2013). Before coming to Montreal, I spent four years as a postdoc and then Researcher at Microsoft Research, Cambridge (UK).
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Google
Resolving Code Review Comments with Machine Learning
Alexander Frömmgen
Peter Choy
Elena Khrapko
Marcus Revaj
2024 IEEE/ACM 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (to appear)
AI-assisted Assessment of Coding Practices in Industrial Code Review
Ivan Budiselic
Malgorzata (Gosia) Salawa
Juanjo Carin
Jovan Andonov
Mateusz Lewko
Marko Ivanković
Rene Just
2024
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
Rishab Goel
International Conference on Learning Representations (ICLR) (2023)
Graph Representations of Python Programs via Source-level Static Analysis
Daniel Johnson
Vincent Josua Hellendoorn
Arxiv (2022)
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models
Daniel Dun-ning Woo Johnson
Rianne van den Berg
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models (2021)
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
Zimin Chen
Vincent J Hellendoorn
Subhodeep Moitra
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021) (2021)
Structured Denoising Diffusion Models in Discrete State-Spaces
Daniel Dun-ning Woo Johnson
Jonathan Ho
Rianne van den Berg
Advances in Neural Information Processing Systems (2021) (to appear)
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
Thirty-fourth Conference on Neural Information Processing Systems (2020)
