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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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Date Trier par date en ordre croissant Titre Trier par titre en ordre croissant
2023 Automatic symbolic melody generation from lyrics
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 On choice models in the context of MDPs
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 AI for molecule discovery with multi-modal knowledge
2023 Contextual cues for deep learning models of code
2023 Fear prediction for training robust RL agents
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Differentiable best response shaping
2023 Vers la mitigation des biais en traitement neuronal des langues
2023 Weak core solution for the non-transferable utility kidney exchange game
2023 Analysis of the human corneal shape with machine learning
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023 On impact of mixing times in continual reinforcement learning
2023 Training large multimodal language models with ethical values
2023 Towards adaptive deep model-based reinforcement learning
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023 Finer grained evaluation methods for better understanding of deep neural network representations
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 Generative models : from data generation to representation learning
2023 Methods for solving combinatorial pricing problems
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Context-aware ranking : from search to dialogue