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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
2025 A survey of state representation learning for deep reinforcement learning
2025 Modélisation et analyse des données pour la simulation ferroviaire et la prévision des horaires en temps réel
2025 Towards optimal knowledge transfer for efficient language models
2026 Advancing training methods for robust discriminative models
2026 In-context learning, data ordering, and active sensing : a prequential perspective
2026 A fully reproducible C toolchain rooted on POSIX shell
2026 A Tutte-like theorem for injective flows on meshes
2026 Probing the temporal reasoning capabilities of dynamic graph learning models
2026 Understanding and improving vision-language models through the lens of the binding problem
2026 Designing interaction and management for AI agent memory : design space, metaphors, and interactive conflict management
2026 Writing by visualizing and editing the sound of text
2026 Improving robustness and safety in multimodal AI systems
2026 From continual adaptation to reliable inference : context-aware out-of-distribution detection
2026 Neural architectures for visual reasoning
2026 Advantage alignment and large language models
2026 Toward socially responsible artificial intelligence approaches for fake news detection
2026 Scaling language models beyond short contexts : architectural innovations and task-specific adaptations for long-sequence understanding
2026 Improving language models for underserved languages and communities
2026 Concept-based methods for improving large language model performance in healthcare and scientific applications
2026 Expansion d’aléa via les jeux non-locaux compilés
2026 The spectrum of structured reasoning in multimodal foundation models
2026 Structural priors for causal discovery in real-world systems
2026 Toward efficient and scalable optimization : theoretical insights and practical challenges
2026 Facility location under customer preferences, cumulative demand, and market competition
2026 Generative learning of biomolecular dynamics
2026 Improving reasoning in large language models
2026 Solar flare prediction from magnetogram data : a comparative study of image and spatio-temporal deep learning models
2026 Exos : conception d’un dispositif numérique pour l’apprentissage personnalisé du français écrit en contexte scolaire québécois
2026 Differential harmonic exponential filter for state estimation
2026 Applications of machine learning for biodiversity monitoring