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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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2025 Human action recognition based on skeleton graph neural networks using self-distillation
2025 Building awareness and safeguarding privacy : the development of DEDALUS and ICARUS for image privacy classification
2025 Learning equivalence hash functions
2025 Technical methods for governing AI agents
2025 Strategic capacity planning and pricing : a choice-based approach
2025 Multi-contrast image-to-image translation for axon and myelin segmentation
2025 Machine learning accelerated stochastic optimization and applications to railway operations
2025 Data-driven large neighbourhood search for combinatorial optimization problems
2025 A study of the role of entanglement in quantum kernel models
2025 Nouvelle contraction algébrique appliquée au problème de tarification de réseau
2025 Design and implementation of an AI-Driven educating bot for personalized science education in middle school students
2025 CyberPRIcards : un jeu sérieux pour la sensibilisation à la vie privée et l’intimité numérique
2025 Learning generative models from a control perspective
2025 Modélisation et analyse des données pour la simulation ferroviaire et la prévision des horaires en temps réel
2025 La reconnaissance faciale par l’IA et par les humains : une étude comparative combinant réseaux de neurones artificiels et l'imagerie cérébrale
2025 Learning under constraints
2025 Inferring 2D and 3D character animation from sketches
2025 Classical and quantum decoding algorithms with ZX-Calculus
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Beyond the status quo in deep reinforcement learning
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 The shifting landscape of data : learning to tame distributional shifts
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations