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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 Applications of machine learning for biodiversity monitoring
2026 Advantage alignment and large language models
2026 Concept-based methods for improving large language model performance in healthcare and scientific applications
2026 Toward socially responsible artificial intelligence approaches for fake news detection
2026 Differential harmonic exponential filter for state estimation
2026 Probing the temporal reasoning capabilities of dynamic graph learning models
2026 The spectrum of structured reasoning in multimodal foundation models
2026 Neural architectures for visual reasoning
2026 Improving language models for underserved languages and communities
2026 A fully reproducible C toolchain rooted on POSIX shell
2026 Towards efficient, reliable and measurable vision-language systems
2026 Empowering rationale-aware commit-based development
2026 Alignement multi-agents de modèles de langage pour la génération de code guidée par des préférences multiples
2025 Towards optimal knowledge transfer for efficient language models
2025 A study of the role of entanglement in quantum kernel models
2025 Learning equivalence hash functions
2025 Unified scientific knowledge representation for large language models
2025 Cracks in the platform : detecting inconsistencies and workarounds in low-code applications
2025 Deep generative modeling of atomistic systems
2025 Interactive hashing against quantum adversaries