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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
2025 CyberPRIcards : un jeu sérieux pour la sensibilisation à la vie privée et l’intimité numérique
2025 Learning equivalence hash functions
2025 Learning under constraints
2025 Nouvelle contraction algébrique appliquée au problème de tarification de réseau
2025 Modélisation et analyse des données pour la simulation ferroviaire et la prévision des horaires en temps réel
2025 Strategic capacity planning and pricing : a choice-based approach
2025 Machine learning accelerated stochastic optimization and applications to railway operations
2025 A study of the role of entanglement in quantum kernel models
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 An exploration of approximation chains
2024 Dynamic capacities and priorities in stable matching
2024 Learning optimizers for communication-efficient distributed learning
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Quotient Types in Typer
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Generative models, theory and applications
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Mobility anomaly detection with intelligent video surveillance
2024 Performative prediction : expanding theoretical horizons
2024 Beyond the status quo in deep reinforcement learning
2024 Embedding cultural diversity in prototype-based recommender systems
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 Evaluating approaches to solving proportional sentence analogies
2024 Intrinsic exploration for reinforcement learning beyond rewards
2024 Towards efficient and effective preference alignment for large language models
2024 Constrained optimization for machine learning : algorithms and applications
2024 Dichotomy(?) of fairness and efficiency
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 Searching for Q*
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 Towards maintainable machine learning development through continual and modular learning
2024 Leveraging foundation models towards semantic world representations for robotics
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics