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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 décroissant Titre Trier par titre en ordre décroissant
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Advancing adversarial robustness with feature desensitization and synthesized data
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 Understanding our 3D world via generative modeling
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Identifying latent structures in data
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Towards efficient and effective preference alignment for large language models
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 Generative models, theory and applications
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Self-play for human-agent communication
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Modelling and evolving design-time uncertainty
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Geometric-aware models for protein design
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Searching for Q*
2024 Génération de données synthétiques pour l'adaptation hors-domaine non-supervisée en réponse aux questions : méthodes basées sur des règles contre réseaux de neurones
2024 Intrinsic exploration for reinforcement learning beyond rewards
2025 Design and implementation of an AI-Driven educating bot for personalized science education in middle school students
2025 Scam detection with large language models : multimodal risk analysis of URLs and chat messages
2025 Connecting neural networks, automata theory and tensor network methods for sequence data learning
2025 Interactive hashing against quantum adversaries
2025 View-dependent deformation fields for 2D editing of 3D models
2025 Building awareness and safeguarding privacy : the development of DEDALUS and ICARUS for image privacy classification