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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 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Self-supervision for reinforcement learning
2024 Generative flow networks : theory and applications to structure learning
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Rule-based data augmentation for document-level medical concept extraction
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 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Identifying latent structures in data
2024 Enhancing agent learning through world dynamics modeling
2024 Self-play for human-agent communication
2024 Dynamic capacities and priorities in stable matching
2024 Evaluating approaches to solving proportional sentence analogies
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 An exploration of approximation chains
2024 Embedding cultural diversity in prototype-based recommender systems
2024 Quotient Types in Typer
2024 Détection universelle des images synthétiques générées par les modèles de diffusion