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Thèses et mémoires

Des thèses et mémoires de nos étudiants sont conservés et consultables dans Papyrus, le dépôt institutionnel de l'Université de Montréal.

 

 

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2014-05 On Recurrent and Deep Neural Networks
2021-08 On representation learning for generative models of text
2020-01 On sample efficiency and systematic generalization of grounded language understanding with deep learning
2015-04 On Space-Time Trade-Off for Montgomery Multipliers over Finite Fields
2019-12 On the bias-variance tradeoff : textbooks need an update
2015-12 On the fly type specialization without type analysis
2022-01 On the VC-dimension of Tensor Networks
2020-07 On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network
2020-08 Open source quality control tool for translation memory using artificial intelligence
2001 Optimisation de circuits lors de la synthèse à partir de langages de haut niveau