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Author’s Latest Publications
- research-article
PLUR: a unifying, graph-based view of program learning, understanding, and repair
- Zimin Chen,
- Vincent J. Hellendoorn,
- Petros Maniatis,
- Pascal Lamblin,
- Pierre-Antoine Manzagol,
- Daniel Tarlow,
- Subhodeep Moitra
December 2021NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems - research-article
Resolving Code Review Comments with Machine Learning
- Alexander Froemmgen,
- Jacob Austin,
- Peter Choy,
- Nimesh Ghelani,
- Lera Kharatyan,
- Gabriela Surita,
- Elena Khrapko,
- Pascal Lamblin,
- Pierre-Antoine Manzagol,
- Marcus Revaj,
- Maxim Tabachnyk,
- Daniel Tarlow,
- Kevin Villela,
- Daniel Zheng,
- Satish Chandra,
- Petros Maniatis
April 2024ICSE-SEIP '24: Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practicehttps://doi.org/10.1145/3639477.3639746 - short-paper
Learning to Fix Build Errors with Graph2Diff Neural Networks
- Daniel Tarlow,
- Subhodeep Moitra,
- Andrew Rice,
- Zimin Chen,
- Pierre-Antoine Manzagol,
- Charles Sutton,
- Edward Aftandilian
June 2020ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshopshttps://doi.org/10.1145/3387940.3392181 - research-article
Reducing the variance in online optimization by transporting past gradients
December 2019NIPS'19: Proceedings of the 33rd International Conference on Neural Information Processing Systems - article
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
December 2010The Journal of Machine Learning Research, Volume 11 - article
Why Does Unsupervised Pre-training Help Deep Learning?
March 2010The Journal of Machine Learning Research, Volume 11