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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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2026 Writing by visualizing and editing the sound of text
2026 Designing interaction and management for AI agent memory : design space, metaphors, and interactive conflict management
2026 Understanding and improving vision-language models through the lens of the binding problem
2026 Probing the temporal reasoning capabilities of dynamic graph learning models
2026 A Tutte-like theorem for injective flows on meshes
2026 A fully reproducible C toolchain rooted on POSIX shell
2026 In-context learning, data ordering, and active sensing : a prequential perspective
2026 Advancing training methods for robust discriminative models
2025 Towards optimal knowledge transfer for efficient language models
2025 Modélisation et analyse des données pour la simulation ferroviaire et la prévision des horaires en temps réel
2025 A survey of state representation learning for deep reinforcement learning
2025 Improving object detection with knowledge graph
2025 3D generative models and score-based diffusion in function space
2025 Machine learning through the sciences of the artificial
2025 Automatic screening of articles for systematic reviews using large language models
2025 Investigating the impact of training data coverage on large language model hallucinations
2025 Évaluation de la confiance dans les modèles épidémiologiques guidée par la provenance : une approche de manipulation formelle des modèles
2025 Learning generative models from a control perspective
2025 Empowering code review automation : a data-centric, multi-task-driven, and human-aware approach
2025 Gradients protection in federated learning for Biometric authentication model
2025 La reconnaissance faciale par l’IA et par les humains : une étude comparative combinant réseaux de neurones artificiels et l'imagerie cérébrale
2025 Modeling the world to reason and plan
2025 Strategic capacity planning and pricing : a choice-based approach
2025 A study of the role of entanglement in quantum kernel models
2025 Classical and quantum decoding algorithms with ZX-Calculus
2025 Uncertainty quantification metrics for scientific application
2025 Toward neural networks that generalize systematically
2025 Improving lexical diversity of neural machine translation using GAN and knowledge distillation
2025 Learning under constraints
2025 Compromising creativity with feature modeling and metamodeling
Number of results : 1661