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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 Competitive EV charging station location with queues
2025 Investigating the impact of training data coverage on large language model hallucinations
2025 Matrix theory and hardware implementation of linear recurrences
2025 Resource allocation under stochastic demand : applications in ridesharing and home healthcare systems
2025 Towards optimal knowledge transfer for efficient language models
2025 Segmentation automatisée des nerfs cornéens sous-basal utilisant l'apprentissage profond
2025 Metacognitive architecture for perceptual and social systems : a neuro-inspired metacognition approach
2025 Leveraging machine reading comprehension to mitigate hallucinations in answer generation by large language models
2025 LLMs for experiment design in scientific domains : are we there yet?
2025 Interpreting and generating drawings via learning, geometry processing, and optimization
2025 Neural architectures for compositional generalisation
2025 Technical methods for governing AI agents
2025 Strategic capacity planning and pricing : a choice-based approach
2025 Problèmes de localisation avec équilibrage
2025 Data-driven large neighbourhood search for combinatorial optimization problems
2025 Robustesse des réseaux neuronaux sur graphes
2025 Uncertainty quantification metrics for scientific application
2025 Vers des jumeaux numériques intelligents en agriculture en environnement contrôlé : contributions conjointes en détection de fruits par vision et en simulation trans-domaines.
2025 Human action recognition based on skeleton graph neural networks using self-distillation
2024 Generative models, theory and applications
2024 Searching for Q*
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Rule-based data augmentation for document-level medical concept extraction
2024 Performative prediction : expanding theoretical horizons
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Mobility anomaly detection with intelligent video surveillance