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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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2023 Reasoning with structure : graph neural networks algorithms and applications
2023 Improving predictive behavior under distributional shift
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Sequential decision modeling in uncertain conditions
2023 Differentiable best response shaping
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Towards adaptive deep model-based reinforcement learning
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Training large multimodal language models with ethical values
2023 Deep networks training and generalization: insights from linearization
2023 Building sample-efficient reinforcement learning
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage