Pierre-Antoine Manzagol
I'm a Software Developer at Google Research, Brain Team in Montreal. I'm currently interested in machine learning methods for understanding and generating programs.
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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)
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)
On the interplay between noise and curvature and its effect on optimization and generalization
Valentin Thomas
Bart van Merriënboer
Yoshua Bengio
Nicolas Le Roux
Proceedings of the 23rdInternational Conference on Artificial Intelligence and Statistics (AISTATS) (2020)
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Zhu
Kelvin Xu
Carles Gelada
International Conference on Learning Representations (submission) (2020)
Reducing the variance in online optimization by transporting past gradients
Sebastien Arnold
Reza Babanezhad
Ioannis Mitliagkas
Nicolas Le Roux
NeurIPS 2019 (2019) (to appear)
