Pascal Lamblin

Pascal Lamblin

Pascal Lamblin is a software developer working with research teams in Google Brain. After completing an engineering degree at École Centrale Paris, he has done research under the supervision of Yoshua Bengio at Université de Montréal, where he also worked on the development of Theano. He is working mainly on few-shot learning, and is also interested in automatic differentiation and program transformations.

Research Areas

Authored Publications
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    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)
    Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
    Eleni Triantafillou
    Tyler Zhu
    Kelvin Xu
    Carles Gelada
    Hugo Larochelle
    International Conference on Learning Representations (submission) (2020)
    Automatic differentiation in ML: Where we are and where we should be going
    Bart van Merriënboer
    Olivier Breuleux
    Arnaud Bergeron
    NeurIPS (Spotlight) (2018)