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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 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 Quotient Types in Typer
2024 Embedding cultural diversity in prototype-based recommender systems
2024 An exploration of approximation chains
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Evaluating approaches to solving proportional sentence analogies
2024 Dynamic capacities and priorities in stable matching
2024 Self-play for human-agent communication
2024 Enhancing agent learning through world dynamics modeling
2024 Identifying latent structures in data
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Rule-based data augmentation for document-level medical concept extraction
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Generative flow networks : theory and applications to structure learning
2024 Self-supervision for reinforcement learning
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Understanding our 3D world via generative modeling
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Learning optimizers for communication-efficient distributed learning
2024 Modélisation de l'activité cérébrale mesurée par imagerie par résonance magnétique fonctionnelle dans une tâche de jeu vidéo par des modèles d'apprentissage profond
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 Intrinsic exploration for reinforcement learning beyond rewards
2024 Leveraging foundation models towards semantic world representations for robotics
2024 Constrained optimization for machine learning : algorithms and applications
2024 Generative models, theory and applications
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Geometric-aware models for protein design
2024 Performative prediction : expanding theoretical horizons
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 Mobility anomaly detection with intelligent video surveillance
2024 Towards maintainable machine learning development through continual and modular learning
2024 Beyond the status quo in deep reinforcement learning
2024 Modelling and evolving design-time uncertainty
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
Number of results : 1620