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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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2021 Hybrid and data-driven methods for efficient and realistic particle-based liquid simulations
2021 Les circuits quantiques paramétrés universels comme modèles d'apprentissage automatique
2021 AI alignment and generalization in deep learning
2021 Randomized Quasi-Monte Carlo Methods for Density Estimation and Simulation of Markov Chains
2021 Towards computationally efficient neural networks with adaptive and dynamic computations
2021 Parsimonious reasoning in reinforcement learning for better credit assignment
2021 Image forgery detection using textural features and deep learning
2021 Some phenomenological investigations in deep learning
2021 Personalized question-based cybersecurity recommendation systems
2021 Lifelong topological visual navigation
2021 Tools for fluid simulation control in computer graphics
2021 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2021 Locality and compositionality in representation learning for complex visual tasks
2020 Deep reinforcement learning for multi-modal embodied navigation
2020 On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network
2020 Identifying electrons with deep learning methods
2020 On learning and generalization in unstructured taskspaces
2020 Apprentissage de modèles causaux par réseaux de neurones artificiels
2020 Modeling functional brain activity of human working memory using deep recurrent neural networks
2020 The load planning problem for double-stack intermodal trains
2020 Statistical physics of constraint satisfaction problems
2020 A game theoretical model for a collaborative e-learning platform on privacy awareness
2020 Theseus : a 3D virtual reality orientation game with real-time guidance system for cognitive training
2020 On sample efficiency and systematic generalization of grounded language understanding with deep learning
2020 Towards using intelligent techniques to assist software specialists in their tasks
2020 VGCN-BERT : augmenting BERT with graph embedding for text classification : application to offensive language detection
2020 Traffic prediction and bilevel network design
2020 Apprentissage de circuits quantiques par descente de gradient classique
2020 Un système de question-réponse simple appliqué à SQuAD
2020 Privacy evaluation of fairness-enhancing pre-processing techniques