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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 décroissant Titre Trier par titre en ordre décroissant
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Predicting viral respiratory tract infections using wearable garment biosensors
2023 Détection de tableaux dans des documents : une étude de TableBank
2023 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023 Methods for solving combinatorial pricing problems
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Towards a unified model for speech and language processing
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 On choice models in the context of MDPs
2023 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Automatic symbolic melody generation from lyrics
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023 Differentiable best response shaping
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 Analysis and evaluation of the pilot attentional model
2023 Variations sur le protocole BB84 avec bases de polarisation secrètes
2023 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Towards adaptive deep model-based reinforcement learning
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Sequential decision modeling in uncertain conditions
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Training large multimodal language models with ethical values
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023 Generative models : from data generation to representation learning
2023 Deep networks training and generalization: insights from linearization
2023 Finer grained evaluation methods for better understanding of deep neural network representations