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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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2022 On discovering and learning structure under limited supervision
2023 On impact of mixing times in continual reinforcement learning
2020 On improving variational inference with low-variance multi-sample estimators
2021 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2022 On iterated learning for task-oriented dialogue
2020 On learning and generalization in unstructured taskspaces
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2021 On quantifying the value of simulation for training and evaluating robotic agents
2014 On Recurrent and Deep Neural Networks
2021 On representation learning for generative models of text
2020 On sample efficiency and systematic generalization of grounded language understanding with deep learning
2015 On Space-Time Trade-Off for Montgomery Multipliers over Finite Fields
2019 On the bias-variance tradeoff : textbooks need an update
1996 On the development of conformance test suites in view of their fault coverage
2015 On the fly type specialization without type analysis
2022 On the VC-dimension of Tensor Networks
2020 On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network
2020 Open source quality control tool for translation memory using artificial intelligence
1986 Opérations booléennes sur les solides dans le langage MIRA-SHADING
1993 Optimisation d'une règle d'apprentissage pour réseaux de neurones artificiels