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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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2024 Deep learning applications to climate change mitigation
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Dynamic capacities and priorities in stable matching
2024 Modelling and evolving design-time uncertainty
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Identifying latent structures in data
2024 Generative flow networks : theory and applications to structure learning
2024 Enhancing agent learning through world dynamics modeling
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Learning optimizers for communication-efficient distributed learning
2024 Génération de données synthétiques pour l'adaptation hors-domaine non-supervisée en réponse aux questions : méthodes basées sur des règles contre réseaux de neurones
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Fair vaccination strategies with influence maximization : a case study on COVID-19
2023 Predicting viral respiratory tract infections using wearable garment biosensors
2023 Variations sur le protocole BB84 avec bases de polarisation secrètes
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 Computational modeling and design of nonlinear mechanical systems and materials
2023 Domain-specific differencing and merging of models
2023 Sequential decision modeling in uncertain conditions
2023 Conditional generative modeling for images, 3D animations, and video
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 Deep learning algorithms for database-driven peptide search
2023 Automatic symbolic melody generation from lyrics
2023 On impact of mixing times in continual reinforcement learning
2023 On choice models in the context of MDPs
2023 Analysis of the human corneal shape with machine learning
2023 Détection de tableaux dans des documents : une étude de TableBank
2023 Optimizing vertical farming : control and scheduling algorithms for enhanced plant growth
2023 Few-shot prompt learning for automating model completion
2023 Small batch deep reinforcement learning
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Towards adaptive deep model-based reinforcement learning